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  • What's the best way to apply a drop shadow?

    - by jckeyes
    What is the best method for applying drop shadows? I'm working on a site right now where we have a good deal of them, however, I've been fighting to find the best method to do it. The site is pretty animation heavy so shadows need to work well with this. I tried a jQuery shadow pulgin. The shadows looked good and were easy to use but were slow and didn't work well with any animations (required lots of redrawing, very joggy). I also tried creating my own jQuery extension that wraps my element in a couple gray divs and then offsets them a little bit to give a shadow effect. This worked well. It's quick and responsive to the animation. However, it makes DOM manipulation/traversal cumbersome since everything is wrapped in these shadow divs. I know there has to be a better way but this isn't exactly my forte. Thoughts?

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  • Find value of selected item in Drop down menu.

    - by Ozaki
    I have a drop down menu in an ASPX page along the lines of: <form> <select name="cars"> <option value="volvo">Volvo</option> <option value="saab">Saab</option> <option value="fiat" selected="selected">Fiat</option> <option value="audi">Audi</option> </select> </form> That is dynamically generated from another controller (value and label). After the user selects one of the options I need to find out what the selected value/label (will be the same) is so I can hit an update button and retrieve the data on that option. What would be the easiest way to find out the value of the user "selected" option?

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  • Is ADO.NET Entity framework database schema update possible?

    - by fyasar
    I'm working on proof of concept application like crm and i need your some advice. My application's data layer completely dynamic and run onto EF 3.5. When the user update the entity, change relation or add new column to the database, first i'm planning make for these with custom classes. After I rebuild my database model layer with new changes during the application runtime. And my model layer tie with tightly coupled to my project for easy reflecting model layer changes (It connected to my project via interfaces and loading onto to application domain in the runtime). I need to create dynamic entities, create entity relations and modify them during the runtime after that i need to create change database script for updating database schema. I know ADO.NET team says "we will be able to provide this property in EF 4.0", but i don't need to wait for them. How can i update database changes during the runtime via EF 3.5 ? For example, i need to create new entity or need to change some entity schema, add new properties or change property types after than how can apply these changes on the physical database schema ? Any ideas ?

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  • Zend Framework/PHPUnit: How to Stub/Mock an object method that connects to a database?

    - by Andrew
    In my Zend Framework project, I have a form that I am testing. In my form, a multi-select element gets its options from a model, which gets the data from the database. public function init() { $this->addElement('select', 'Region_ID', array('multiOptions' => $this->getRegions())); } protected function getRegions() { $mapper = new Model_RegionMapper(); return $mapper->getFormSelectData(); //this method will try to connect to a database (or get another object that will connect to the database) } I tried copying the example in the PHPUnit documentation, but it doesn't seem to be working. public function setUp() { $stub = $this->getMock('Model_RegionMapper'); $stub->expects($this->any()) ->method('getFormSelectData') ->will($this->returnValue(array('testdata'))); } public function testFoo() { //this will fail $form = new My_Form(); } The test fails because it is trying to find a table in the database that doesn't exist. But I don't want it to connect to the database at all. How do I correctly stub/mock this method so that it doesn't call the database?

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  • An image cropper: How to prevent the default drag n' drop action?

    - by David Gore
    I am developing an image cropper and would like to ask you the following question: In order to prevent the default drag n' drop action when you press the left button on an image and keeping it pressed try to move the mouse, wouldn't it be cross-browser if to just use the picture as a background to a div box? Just like so: <div id="theDiv" style="background:url(pic.png) no-repeat;"></div> How do you think? Is it acceptable? Not too ugly? Or should be done with JS?

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  • How do I mimic Windows Explorer multi-select/drag-n-drop behavior in a DataGridView?

    - by bsh152s
    I'm trying to mimic the way Windows Explorer handles multiple selection. In a default DataGridView, you can select multiple items using Ctrl-click. But if you release the Ctrl key and then try and drag/drop the selected items, it clears the selected items and only selects the "hit" row. I found the following solution somewhere online. protected override OnMouseDown(MouseEventArgs e) { int hitRowIndex = HitTest(e.X, e.Y).RowIndex; if(!SelectedRows.Contains(Rows[hitRowIndex])) { base.OnMouseDown(); } } However, this causes other side effects. With the CTRL key pressed and mousing down on a selected item, the item remains selected. This makes sense because the mousedown event is bypassed if the row clicked on is selected. From looking at the behavior of Windows Explorer, it looks like the deselection of an item with the CTRL key held is not handled until the MouseUp event. Has anyone tried to do this?

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  • How to view my Android app created database, via my android app?

    - by suufang
    I'm creating an application that collects users location (Cell broadcast location code) and saves that location with a name of users option, for example say my CB location code is 546034, now my app allows me to store that location code with a name of my choice say 'Home'. So, essentially my app has that following modules, To collect users CB location. To collect a custom name from user of that location. To store these values in a database. I've succeeded in doing all the above modules. I have a sub-module for my third module which has an option for user, of showing and deleting the database values, the screen shot looks as follows, Now, Users should be able to view and delete entries when he chooses the option 'View my database of locations' I've learned how to query my database values and I'm stuck with creating a list view and providing the delete option. My code for getting the database values and querying values goes as follows, submit.setOnClickListener(new View.OnClickListener() { public void onClick(View arg0) { String locname = name.getText().toString(); if(locname.length()==0) { Toast.makeText(getBaseContext(), "Please enter the location name, for example 'Home'.", Toast.LENGTH_LONG).show(); } else { SQLiteDatabase cd = openOrCreateDatabase("mydata", MODE_WORLD_READABLE, null); cd.execSQL("CREATE TABLE IF NOT EXISTS MLITable (CblocationCode INT(10), CblocationName VARCHAR);"); cd.execSQL("INSERT INTO MLITable VALUES ('"+str+ "','"+locname+ "');"); cd.close(); Toast.makeText(getBaseContext(), "value successfully entered.", Toast.LENGTH_LONG).show(); } } }); viewdb.setOnClickListener(new View.OnClickListener() { public void onClick(View arg0) { // here comes the code for viewing the database and deleting SQLiteDatabase db = openOrCreateDatabase("mydata", MODE_WORLD_READABLE, null); Cursor c = db.rawQuery("SELECT * FROM MLITble", null); db.close(); } }); I can see that I've read the table values, but I'm not able to create a display for those values. Help required. Thank you.

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  • Finding out the windows group by virtue of which a user is able to access a database in sql server?

    - by Raghu Dodda
    There is a SQL Server 2005 database with mixed-mode authentication. Among others, we have the following logins on the server: our-domain\developers-group-1, and our-domain\developers-group-2 which are AD groups. The our-domain\developer-group-2 is added to the sysadmin role on the server, by virture of which all domain users of that group can access any database as SQL Server implictly maps the sysadmin role to the dbo user in each database. There are two users our-domain\good-user and our-domain\bad-user The issue is the following: Both the good-user and the bad-user have the exact same AD group memberships. They are both members of our-domain\developers-group-1 and our-domain\developers-group-2. The good-user is able to access all the databases, and the bad-user is not. The bad-user is able to login, but he is unable access any databases. By the way, I am the good-user. How do I go about finding out why? Here's what I tried so far: When I do print current_user, I get dbo When I do print system_user, I get my-domain\good-user When I do select * from fn_my_permissions(NULL, 'SERVER'), I see permissions. But if do execute as user='my-domain\good-user'; select * from fn_my_permissions(NULL, 'SERVER'), I dont see any permisisons. And When I do, execute as user='my-domain\bad-user'; select * from fn_my_permissions(NULL, 'SERVER'), I dont see any permisisons. Also, I was wondering if there is a sql command that will tell me, "hey! the current database user is able to access this database because he is a member such-and-such ad-group, which is a login that is mapped to such-and-such user in this database".

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  • Drop into read-eval-print loop from PHP code?

    - by Mickey
    Is there a way to drop into a read-eval-print loop from inside PHP code during execution, in a script that was run from the command line? That is, like php -a or phpsh? Or do I have to re-implement a REPL from scratch? I can't find any way to do it. To clarify: the reason why I need to do this is that I want to automatically include all the files in my project once the REPL starts, instead of having to manually include everything by hand.

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  • Drop down selection not registered when form submitted quickly?!

    - by Abs
    Hello all, I have noticed a strange thing that happens on my web app when the server is under heavy loads (I am remoting on to the Windows Server). I have a drop down box which is generated dynamically (server side). When I make a selection and quickly press the submit button to indicate my selection the next page does not register my selection but if I do it a bit more slowly it will. I have not come across this before, has anyone? I know its a small issue but there are a lot of "trigger happy", including me... should I put a delay before the form is submitted? If I do, I can only guess the right amount of time. Or is there an underlying problem with my web app? Thanks all

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  • UI Design - design pattern for city/country drop down? (ASP.NET MVC)

    - by JK
    What is the best way to do a city/country dropdown pair in ASP.NET MVC? I see lots of places with country above city, but that's unnatural: in real life we write city/country. I've used city, then country, but the problem is that the user then has to go backwards after changing the country. The other problem is what do you do about cities/countries not in your list? If city/country are both drop downs, then the user cant type their own city if it is missing. But if you have a dropdown and a textbox, that makes it unwieldy (you end up with 4 controls to enter 2 pieces of data). Are there any examples websites where the city/country dropdown pair are done in a very useable and clear manner?

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  • Looking for an email/report templating engine with database backend - for end-users ...

    - by RizwanK
    We have a number of customers that we have to send monthly invoices too. Right now, I'm managing a codebase that does SQL queries against our customer database and billing database and places that data into emails - and sends it. I grow weary of maintaining this every time we want to include a new promotion or change our customer service phone numbers. So, I'm looking for a replacement to move more of this into the hands of those requesting the changes. In my ideal world, I need : A WYSIWYG (man, does anyone even say that anymore?) email editor that generates templates based upon the output from a Database Query. The ability to drag and drop various fields from the database query into the email template. Display of sample email results with the database query. Web application, preferably not requiring IIS. Involve as little code as possible for the end-user, but allow basic functionality (i.e. arrays/for loops) Either comes with it's own email delivery engine, or writes output in a way that I can easily write a Python script to deliver the email. Support for generic Database Connectors. (I need MSSQL and MySQL) F/OSS So ... can anyone suggest a project like this, or some tools that'd be useful for rolling my own? (My current alternative idea is using something like ERB or Tenjin, having them write the code, but not having live-preview for the editor would suck...)

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  • PHP scripts randomly becoming really slow to respond - Database lockup?

    - by webnoob
    Hi All, I wasn't sure whether to post this here or on stackoverflow, so apologies if its in the wrong place. I have about 7 php scripts running on a centOS VPS. Each of these scripts contacts a game server and processes the logs, with the logs it either does some database queries or sends info back to the game server. I am having an issue where some of the scripts will randomly become REALLY slow to respond and I don't know where to start with my debugging. Each script connects to its own database schema but on the same MySQL server. Each script will do about 4 inserts per second and twice as many select statements on their respective databases. I thought a database lockup may cause the issue but some console messages that are read from the database are sent to the game servers console without issue every 30 seconds, even when the script is slow to responding to other commands. Non of the scripts are using a lot of memory or CPU power. About 0.1% each. I know this information is really vague but I don't know linux very well at all (in fact, top is about my limit) and I really don't know where to start debugging this. Thanks.

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  • Alternative method of viewing a database diagram in SQL Server to see what tables have gone missing?

    - by Triynko
    I have a database diagram for my database, but when I open it in SQL Server, I almost immediately get a message saying some permissions changed or tables in the diagram were dropped or renamed, and tables in the diagram vanish before I can even scroll over to see what or where they were. Basically, it's saying, "Hey, you know all that time you spent laying out tables in this diagram... half of them are going to vanish when you view it, and I'm not going to tell you which tables vanished or where they were in the diagram. You're just going to see a bunch of random empty spaces where tables used to be ;)" Ridiculous. So I thought that maybe if I look in the dbo.sysdiagrams table, I could look at some plain text definition of the diagram to get a clue about the names of the tables that went missing (because thier names were probably only changed slightly) or their coordinates in the diagram (because their spatial location would give me a clue as to what they were), so that I could re-add them, but I can't, because it's a binary definition. So, is there some other program I could use to view the existing database diagram that's not going to just drop and forget the missing tables without telling me what they were, or is this information lost and at the mercy of some SSMS-proprietary database diagram format and viewer which refuses to cooperate with me.

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  • Can SQL Server (2008) transaction logs handle the database being dropped and re-created?

    - by Ben
    We're trying to restore a database (created programatically by running a hand-crafted SQL script we have). Our backup routine is to create a full backup of every database on the SQL Server 2008 instance on a Saturday then automatic transaction logs (I assume these are created automatically anyway - we appear to have lots of log files, possibly one per transaction after the full backup was taken?). On Tuesday this week the database in question was dropped and another one with the exact same name and schema was created. SQL Server has continued to create transaction log files but it hasn't had chance to create a new full backup (that won't happen until next Saturday). Now as it turns out we need to restore the database to how it was on Thursday. This is after the "drop and re-create". My question is, is this possible? If it isn't, what exactly does SQL Server think that it's writing to those transaction logs created since the drop and re-create? (I understood they were kind of files containing a binary delta, which makes me think maybe we can restore from them?) I'm no DBA but then neither is our IT department, so I'm doing the best I can to resolve this. Any advice much appreciated!

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  • how to access mysql table from wamp database using this php code? [migrated]

    - by user3909877
    how to access tables from database by using php in wamp server.i have done the following code but its not working for some reason.is there anything to put in 'action=""'.it is not giving any error but displaying the same page.i want to display table from database on any different entry in dropdown menu and pressing search button.. <p class="h2">Quick Search</p> <div class="sb2_opts"> <p> </p> <form method="post" action="" > <p>Enter your source and destination.</p> <p> From:</p> <select name="from"> <option value="Islamabad">Islamabad</option> <option value="Lahore">Lahore</option> <option value="murree">Murree</option> <option value="Muzaffarabad">Muzaffarabad</option> </select> <p> To:</p> <select name="To"> <option value="Islamabad">Islamabad</option> <option value="Lahore">Lahore</option> <option value="murree">Murree</option> <option value="Muzaffarabad">Muzaffarabad</option> </select> <input type="submit" value="search" /> </form> </form> </table> <?php if(isset($_POST['from']) and isset($_POST['To'])) { $from = $_POST['from'] ; $to = $_POST['To'] ; $table = array($from, $to); $con=mysqli_connect("localhost"); $mydb=mysql_select_db("homedb"); if (mysqli_connect_errno()) { echo "Failed to connect to MySQL: " . mysqli_connect_error(); } switch ($table) { case array ("Islamabad", "Lahore") : $result = mysqli_query($con,"SELECT * FROM flights"); echo "</flights>"; //table name is flights break; case array ("Islamabad", "Murree") : $result = mysqli_query($con,"SELECT * FROM `isb to murree`"); echo "</`isb to murree`>"; //table name isb to murree ; break; case array ("Islamabad", "Muzaffarabad") : $result = mysqli_query($con,"SELECT * FROM `isb to muzz`"); echo "</`isb to muzz`>"; break; //..... //...... default: echo "Your choice is nor valid !!"; } } mysqli_close($con); ?>

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  • sqllite and populating list view, android

    - by Rob Bushway
    I am populating a text and list view from a sqllite database. The data is populating from the cursor correctly (I see the list filling with text rows), but I'm not able to see the actual text in the rows - all I see are empty rows. For the life of me, I can't figure out what I'm not able to see the data in the text rows. My layouts: Tab layout: list layout: row layout: <?xml version="1.0" encoding="utf-8"?> / My topics activity package com.gotquestions.gqapp; import com.gotquestions.gqapp.R.layout; import android.R; import android.app.ListActivity; import android.database.Cursor; import android.database.SQLException; import android.os.Bundle; import android.widget.SimpleCursorAdapter; public class TopicsActivity extends ListActivity { private DataBaseHelper myDbHelper; public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); // DataBaseHelper myDbHelper = new DataBaseHelper(this); myDbHelper = new DataBaseHelper(this); //test try { myDbHelper.openDataBase(); }catch(SQLException sqle){ throw sqle; } setContentView(layout.list_layout); Cursor c = myDbHelper.fetchAllTopics(); startManagingCursor(c); String[] from = new String[] { DataBaseHelper.KEY_TITLE }; int[] to = new int[] { R.id.text1 }; // Now create an array adapter and set it to display using our row SimpleCursorAdapter notes = new SimpleCursorAdapter(this, layout.notes_row, c, from, to); setListAdapter(notes); myDbHelper.close(); } } My database helper: package com.gotquestions.gqapp; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStream; import java.io.OutputStream; import android.content.Context; import android.database.Cursor; import android.database.SQLException; import android.database.sqlite.SQLiteDatabase; import android.database.sqlite.SQLiteException; import android.database.sqlite.SQLiteOpenHelper; import android.util.Log; public class DataBaseHelper extends SQLiteOpenHelper{ //The Android's default system path of your application database. private static String DB_PATH = "/data/data/com.gotquestions.gqapp/databases/"; private static String DB_NAME = "gotquestions_database.mp3"; public static final String KEY_TITLE = "topic_title"; public static final String KEY_ARTICLE_TITLE = "article_title"; public static final String KEY_ROWID = "_id"; private static final String TAG = null; private SQLiteDatabase myDataBase; // private final Context myContext; /** * Constructor * Takes and keeps a reference of the passed context in order to access to the application assets and resources. * @param context */ public DataBaseHelper(Context context) { super(context, DB_NAME, null, 1); this.myContext = context; } /** * Creates a empty database on the system and rewrites it with your own database. * */ public void createDataBase() throws IOException{ boolean dbExist = checkDataBase(); if(dbExist){ //do nothing - database already exist }else{ //By calling this method and empty database will be created into the default system path //of your application so we are gonna be able to overwrite that database with our database. this.getReadableDatabase(); try { copyDataBase(); } catch (IOException e) { throw new Error("Error copying database"); } } } /** * Check if the database already exist to avoid re-copying the file each time you open the application. * @return true if it exists, false if it doesn't */ private boolean checkDataBase(){ SQLiteDatabase checkDB = null; try{ String myPath = DB_PATH + DB_NAME; checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); }catch(SQLiteException e){ //database does't exist yet. } if(checkDB != null){ checkDB.close(); } return checkDB != null ? true : false; } /** * Copies your database from your local assets-folder to the just created empty database in the * system folder, from where it can be accessed and handled. * This is done by transfering bytestream. * */ private void copyDataBase() throws IOException{ //Open your local db as the input stream InputStream myInput = myContext.getAssets().open(DB_NAME); // Path to the just created empty db String outFileName = DB_PATH + DB_NAME; //Open the empty db as the output stream OutputStream myOutput = new FileOutputStream(outFileName); //transfer bytes from the inputfile to the outputfile byte[] buffer = new byte[1024]; int length; while ((length = myInput.read(buffer))>0){ myOutput.write(buffer, 0, length); } //Close the streams myOutput.flush(); myOutput.close(); myInput.close(); } public void openDataBase() throws SQLException{ //Open the database String myPath = DB_PATH + DB_NAME; myDataBase = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); } @Override public synchronized void close() { if(myDataBase != null) myDataBase.close(); super.close(); } @Override public void onCreate(SQLiteDatabase db) { // TODO Auto-generated method stub } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { Log.w(TAG, "Upgrading database from version " + oldVersion + " to " + newVersion + ", which will destroy all old data"); db.execSQL("DROP TABLE IF EXISTS titles"); onCreate(db); } public Cursor getTitle(long rowId) throws SQLException { Cursor mCursor = myDataBase.query(true, "topics", new String[] { KEY_ROWID, KEY_TITLE }, KEY_ROWID + "=" + rowId, null, null, null, null, null); if (mCursor != null) { mCursor.moveToFirst(); } return mCursor; } public Cursor fetchAllTopics() { return myDataBase.query("topics", new String[] {KEY_ROWID, KEY_TITLE}, null, null, null, null, null); }; public Cursor fetchAllFavorites() { return myDataBase.query("articles", new String[] { KEY_ROWID, KEY_ARTICLE_TITLE}, null, null, null, null, null); }; }

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  • SQL SERVER – Fix : Error : 8501 MSDTC on server is unavailable. Changed database context to publishe

    - by pinaldave
    During configuring replication on one of the server, I received following error. This is very common error and the solution of the same is even simpler. MSDTC on server is unavailable. Changed database context to publisherdatabase. (Microsoft SQL Server, Error: 8501) Solution: Enable “Distributed Transaction Coordinator” in SQL Server. Method 1: Click on Start–>Control Panel->Administrative Tools->Services Select the service “Distributed Transaction Coordinator” Right on the service and choose “Start” Method 2: Type services.msc in the run command box Select “Services” manager; Hit Enter Select the service “Distributed Transaction Coordinator” Right on the service and choose “Start” Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Error Messages, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Replication

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  • Announcing Entity Framework Code-First (CTP5 release)

    - by ScottGu
    This week the data team released the CTP5 build of the new Entity Framework Code-First library.  EF Code-First enables a pretty sweet code-centric development workflow for working with data.  It enables you to: Develop without ever having to open a designer or define an XML mapping file Define model objects by simply writing “plain old classes” with no base classes required Use a “convention over configuration” approach that enables database persistence without explicitly configuring anything Optionally override the convention-based persistence and use a fluent code API to fully customize the persistence mapping I’m a big fan of the EF Code-First approach, and wrote several blog posts about it this summer: Code-First Development with Entity Framework 4 (July 16th) EF Code-First: Custom Database Schema Mapping (July 23rd) Using EF Code-First with an Existing Database (August 3rd) Today’s new CTP5 release delivers several nice improvements over the CTP4 build, and will be the last preview build of Code First before the final release of it.  We will ship the final EF Code First release in the first quarter of next year (Q1 of 2011).  It works with all .NET application types (including both ASP.NET Web Forms and ASP.NET MVC projects). Installing EF Code First You can install and use EF Code First CTP5 using one of two ways: Approach 1) By downloading and running a setup program.  Once installed you can reference the EntityFramework.dll assembly it provides within your projects.      or: Approach 2) By using the NuGet Package Manager within Visual Studio to download and install EF Code First within a project.  To do this, simply bring up the NuGet Package Manager Console within Visual Studio (View->Other Windows->Package Manager Console) and type “Install-Package EFCodeFirst”: Typing “Install-Package EFCodeFirst” within the Package Manager Console will cause NuGet to download the EF Code First package, and add it to your current project: Doing this will automatically add a reference to the EntityFramework.dll assembly to your project:   NuGet enables you to have EF Code First setup and ready to use within seconds.  When the final release of EF Code First ships you’ll also be able to just type “Update-Package EFCodeFirst” to update your existing projects to use the final release. EF Code First Assembly and Namespace The CTP5 release of EF Code First has an updated assembly name, and new .NET namespace: Assembly Name: EntityFramework.dll Namespace: System.Data.Entity These names match what we plan to use for the final release of the library. Nice New CTP5 Improvements The new CTP5 release of EF Code First contains a bunch of nice improvements and refinements. Some of the highlights include: Better support for Existing Databases Built-in Model-Level Validation and DataAnnotation Support Fluent API Improvements Pluggable Conventions Support New Change Tracking API Improved Concurrency Conflict Resolution Raw SQL Query/Command Support The rest of this blog post contains some more details about a few of the above changes. Better Support for Existing Databases EF Code First makes it really easy to create model layers that work against existing databases.  CTP5 includes some refinements that further streamline the developer workflow for this scenario. Below are the steps to use EF Code First to create a model layer for the Northwind sample database: Step 1: Create Model Classes and a DbContext class Below is all of the code necessary to implement a simple model layer using EF Code First that goes against the Northwind database: EF Code First enables you to use “POCO” – Plain Old CLR Objects – to represent entities within a database.  This means that you do not need to derive model classes from a base class, nor implement any interfaces or data persistence attributes on them.  This enables the model classes to be kept clean, easily testable, and “persistence ignorant”.  The Product and Category classes above are examples of POCO model classes. EF Code First enables you to easily connect your POCO model classes to a database by creating a “DbContext” class that exposes public properties that map to the tables within a database.  The Northwind class above illustrates how this can be done.  It is mapping our Product and Category classes to the “Products” and “Categories” tables within the database.  The properties within the Product and Category classes in turn map to the columns within the Products and Categories tables – and each instance of a Product/Category object maps to a row within the tables. The above code is all of the code required to create our model and data access layer!  Previous CTPs of EF Code First required an additional step to work against existing databases (a call to Database.Initializer<Northwind>(null) to tell EF Code First to not create the database) – this step is no longer required with the CTP5 release.  Step 2: Configure the Database Connection String We’ve written all of the code we need to write to define our model layer.  Our last step before we use it will be to setup a connection-string that connects it with our database.  To do this we’ll add a “Northwind” connection-string to our web.config file (or App.Config for client apps) like so:   <connectionStrings>          <add name="Northwind"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;AttachDBFilename=|DataDirectory|\northwind.mdf;User Instance=true"          providerName="System.Data.SqlClient" />   </connectionStrings> EF “code first” uses a convention where DbContext classes by default look for a connection-string that has the same name as the context class.  Because our DbContext class is called “Northwind” it by default looks for a “Northwind” connection-string to use.  Above our Northwind connection-string is configured to use a local SQL Express database (stored within the \App_Data directory of our project).  You can alternatively point it at a remote SQL Server. Step 3: Using our Northwind Model Layer We can now easily query and update our database using the strongly-typed model layer we just built with EF Code First. The code example below demonstrates how to use LINQ to query for products within a specific product category.  This query returns back a sequence of strongly-typed Product objects that match the search criteria: The code example below demonstrates how we can retrieve a specific Product object, update two of its properties, and then save the changes back to the database: EF Code First handles all of the change-tracking and data persistence work for us, and allows us to focus on our application and business logic as opposed to having to worry about data access plumbing. Built-in Model Validation EF Code First allows you to use any validation approach you want when implementing business rules with your model layer.  This enables a great deal of flexibility and power. Starting with this week’s CTP5 release, EF Code First also now includes built-in support for both the DataAnnotation and IValidatorObject validation support built-into .NET 4.  This enables you to easily implement validation rules on your models, and have these rules automatically be enforced by EF Code First whenever you save your model layer.  It provides a very convenient “out of the box” way to enable validation within your applications. Applying DataAnnotations to our Northwind Model The code example below demonstrates how we could add some declarative validation rules to two of the properties of our “Product” model: We are using the [Required] and [Range] attributes above.  These validation attributes live within the System.ComponentModel.DataAnnotations namespace that is built-into .NET 4, and can be used independently of EF.  The error messages specified on them can either be explicitly defined (like above) – or retrieved from resource files (which makes localizing applications easy). Validation Enforcement on SaveChanges() EF Code-First (starting with CTP5) now automatically applies and enforces DataAnnotation rules when a model object is updated or saved.  You do not need to write any code to enforce this – this support is now enabled by default.  This new support means that the below code – which violates our above rules – will automatically throw an exception when we call the “SaveChanges()” method on our Northwind DbContext: The DbEntityValidationException that is raised when the SaveChanges() method is invoked contains a “EntityValidationErrors” property that you can use to retrieve the list of all validation errors that occurred when the model was trying to save.  This enables you to easily guide the user on how to fix them.  Note that EF Code-First will abort the entire transaction of changes if a validation rule is violated – ensuring that our database is always kept in a valid, consistent state. EF Code First’s validation enforcement works both for the built-in .NET DataAnnotation attributes (like Required, Range, RegularExpression, StringLength, etc), as well as for any custom validation rule you create by sub-classing the System.ComponentModel.DataAnnotations.ValidationAttribute base class. UI Validation Support A lot of our UI frameworks in .NET also provide support for DataAnnotation-based validation rules. For example, ASP.NET MVC, ASP.NET Dynamic Data, and Silverlight (via WCF RIA Services) all provide support for displaying client-side validation UI that honor the DataAnnotation rules applied to model objects. The screen-shot below demonstrates how using the default “Add-View” scaffold template within an ASP.NET MVC 3 application will cause appropriate validation error messages to be displayed if appropriate values are not provided: ASP.NET MVC 3 supports both client-side and server-side enforcement of these validation rules.  The error messages displayed are automatically picked up from the declarative validation attributes – eliminating the need for you to write any custom code to display them. Keeping things DRY The “DRY Principle” stands for “Do Not Repeat Yourself”, and is a best practice that recommends that you avoid duplicating logic/configuration/code in multiple places across your application, and instead specify it only once and have it apply everywhere. EF Code First CTP5 now enables you to apply declarative DataAnnotation validations on your model classes (and specify them only once) and then have the validation logic be enforced (and corresponding error messages displayed) across all applications scenarios – including within controllers, views, client-side scripts, and for any custom code that updates and manipulates model classes. This makes it much easier to build good applications with clean code, and to build applications that can rapidly iterate and evolve. Other EF Code First Improvements New to CTP5 EF Code First CTP5 includes a bunch of other improvements as well.  Below are a few short descriptions of some of them: Fluent API Improvements EF Code First allows you to override an “OnModelCreating()” method on the DbContext class to further refine/override the schema mapping rules used to map model classes to underlying database schema.  CTP5 includes some refinements to the ModelBuilder class that is passed to this method which can make defining mapping rules cleaner and more concise.  The ADO.NET Team blogged some samples of how to do this here. Pluggable Conventions Support EF Code First CTP5 provides new support that allows you to override the “default conventions” that EF Code First honors, and optionally replace them with your own set of conventions. New Change Tracking API EF Code First CTP5 exposes a new set of change tracking information that enables you to access Original, Current & Stored values, and State (e.g. Added, Unchanged, Modified, Deleted).  This support is useful in a variety of scenarios. Improved Concurrency Conflict Resolution EF Code First CTP5 provides better exception messages that allow access to the affected object instance and the ability to resolve conflicts using current, original and database values.  Raw SQL Query/Command Support EF Code First CTP5 now allows raw SQL queries and commands (including SPROCs) to be executed via the SqlQuery and SqlCommand methods exposed off of the DbContext.Database property.  The results of these method calls can be materialized into object instances that can be optionally change-tracked by the DbContext.  This is useful for a variety of advanced scenarios. Full Data Annotations Support EF Code First CTP5 now supports all standard DataAnnotations within .NET, and can use them both to perform validation as well as to automatically create the appropriate database schema when EF Code First is used in a database creation scenario.  Summary EF Code First provides an elegant and powerful way to work with data.  I really like it because it is extremely clean and supports best practices, while also enabling solutions to be implemented very, very rapidly.  The code-only approach of the library means that model layers end up being flexible and easy to customize. This week’s CTP5 release further refines EF Code First and helps ensure that it will be really sweet when it ships early next year.  I recommend using NuGet to install and give it a try today.  I think you’ll be pleasantly surprised by how awesome it is. Hope this helps, Scott

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  • Cursors 1 Sets 0

    - by GrumpyOldDBA
    I had an interesting experience with a database I essentially know nothing about. On the server is a database which stores session state, Microsoft provide the code/database with their dot net, so I'm told. Anyway this database has sat happily on the production server for the past 4 years I guess, we've finally made the upgrade to SQL 2008 and the ASPState database has also been upgraded. It seems most likely that the performance increase of our upgrade tipped the usage of this database into...(read more)

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  • Using Oracle Proxy Authentication with JPA (eclipselink-Style)

    - by olaf.heimburger
    Security is a very intriguing topic. You will find it everywhere and you need to implement it everywhere. Yes, you need. Unfortunately, one can easily forget it while implementing the last mile. The Last Mile In a multi-tier application it is a common practice to use connection pools between the business layer and the database layer. Connection pools are quite useful to speed database connection creation and to split the load. Another very common practice is to use a specific, often called technical, user to connect to the database. This user has authentication and authorization rules that apply to all application users. Imagine you've put every effort to define roles for different types of users that use your application. These roles are necessary to differentiate between normal users, premium users, and administrators (I bet you will find or already have more roles in your application). While these user roles are pretty well used within your application, once the flow of execution enters the database everything is gone. Each and every user just has one role and is the same database user. Issues? What Issues? As long as things go well, this is not a real issue. However, things do not go well all the time. Once your application becomes famous performance decreases in certain situations or, more importantly, current and upcoming regulations and laws require that your application must be able to apply different security measures on a per user role basis at every stage of your application. If you only have a bunch of users with the same name and role you are not able to find the application usage profile that causes the performance issue, or which user has accessed data that he/she is not allowed to. Another thread to your role concept is that databases tend to be used by different applications and tools. These tools can be developer tools like SQL*Plus, SQL Developer, etc. or end user applications like BI Publisher, Oracle Forms and so on. These tools have no idea of your applications role concept and access the database the way they think is appropriate. A big oversight for your perfect role model and a big nightmare for your Chief Security Officer. Speaking of the CSO, brings up another issue: Password management. Once your technical user account is compromised, every user is able to do things that he/she is not expected to do from the design of your application. Counter Measures In the Oracle world a common counter measure is to use Virtual Private Database (VPD). This restricts the values a database user can see to the allowed minimum. However, it doesn't help in regard of a connection pool user, because this one is still not the real user. Oracle Proxy Authentication Another feature of the Oracle database is Proxy Authentication. First introduced with version 9i it is a quite useful feature for nearly every situation. The main idea behind Proxy Authentication is, to create a crippled database user who has only connect rights. Even if this user is compromised the risks are well understood and fairly limited. This user can be used in every situation in which you need to connect to the database, no matter which tool or application (see above) you use.The proxy user is perfect for multi-tier connection pools. CREATE USER app_user IDENTIFIED BY abcd1234; GRANT CREATE SESSION TO app_user; But what if you need to access real data? Well, this is the primary use case, isn't it? Now is the time to bring the application's role concept into play. You define database roles that define the grants for your identified user groups. Once you have these groups you grant access through the proxy user with the application role to the specific user. CREATE ROLE app_role_a; GRANT app_role_a TO scott; ALTER USER scott GRANT CONNECT THROUGH app_user WITH ROLE app_role_a; Now, hr has permission to connect to the database through the proxy user. Through the role you can restrict the hr's rights the are needed for the application only. If hr connects to the database directly all assigned role and permissions apply. Testing the Setup To test the setup you can use SQL*Plus and connect to your database: $ sqlplus app_user[hr]/abcd1234 Java Persistence API The Java Persistence API (JPA) is a fairly easy means to build applications that retrieve data from the database and put it into Java objects. You use plain old Java objects (POJOs) and mixin some Java annotations that define how the attributes of the object are used for storing data from the database into the Java object. Here is a sample for objects from the HR sample schema EMPLOYEES table. When using Java annotations you only specify what can not be deduced from the code. If your Java class name is Employee but the table name is EMPLOYEES, you need to specify the table name, otherwise it will fail. package demo.proxy.ejb; import java.io.Serializable; import java.sql.Timestamp; import java.util.List; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.ManyToOne; import javax.persistence.NamedQueries; import javax.persistence.NamedQuery; import javax.persistence.OneToMany; import javax.persistence.Table; @Entity @NamedQueries({ @NamedQuery(name = "Employee.findAll", query = "select o from Employee o") }) @Table(name = "EMPLOYEES") public class Employee implements Serializable { @Column(name="COMMISSION_PCT") private Double commissionPct; @Column(name="DEPARTMENT_ID") private Long departmentId; @Column(nullable = false, unique = true, length = 25) private String email; @Id @Column(name="EMPLOYEE_ID", nullable = false) private Long employeeId; @Column(name="FIRST_NAME", length = 20) private String firstName; @Column(name="HIRE_DATE", nullable = false) private Timestamp hireDate; @Column(name="JOB_ID", nullable = false, length = 10) private String jobId; @Column(name="LAST_NAME", nullable = false, length = 25) private String lastName; @Column(name="PHONE_NUMBER", length = 20) private String phoneNumber; private Double salary; @ManyToOne @JoinColumn(name = "MANAGER_ID") private Employee employee; @OneToMany(mappedBy = "employee") private List employeeList; public Employee() { } public Employee(Double commissionPct, Long departmentId, String email, Long employeeId, String firstName, Timestamp hireDate, String jobId, String lastName, Employee employee, String phoneNumber, Double salary) { this.commissionPct = commissionPct; this.departmentId = departmentId; this.email = email; this.employeeId = employeeId; this.firstName = firstName; this.hireDate = hireDate; this.jobId = jobId; this.lastName = lastName; this.employee = employee; this.phoneNumber = phoneNumber; this.salary = salary; } public Double getCommissionPct() { return commissionPct; } public void setCommissionPct(Double commissionPct) { this.commissionPct = commissionPct; } public Long getDepartmentId() { return departmentId; } public void setDepartmentId(Long departmentId) { this.departmentId = departmentId; } public String getEmail() { return email; } public void setEmail(String email) { this.email = email; } public Long getEmployeeId() { return employeeId; } public void setEmployeeId(Long employeeId) { this.employeeId = employeeId; } public String getFirstName() { return firstName; } public void setFirstName(String firstName) { this.firstName = firstName; } public Timestamp getHireDate() { return hireDate; } public void setHireDate(Timestamp hireDate) { this.hireDate = hireDate; } public String getJobId() { return jobId; } public void setJobId(String jobId) { this.jobId = jobId; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getPhoneNumber() { return phoneNumber; } public void setPhoneNumber(String phoneNumber) { this.phoneNumber = phoneNumber; } public Double getSalary() { return salary; } public void setSalary(Double salary) { this.salary = salary; } public Employee getEmployee() { return employee; } public void setEmployee(Employee employee) { this.employee = employee; } public List getEmployeeList() { return employeeList; } public void setEmployeeList(List employeeList) { this.employeeList = employeeList; } public Employee addEmployee(Employee employee) { getEmployeeList().add(employee); employee.setEmployee(this); return employee; } public Employee removeEmployee(Employee employee) { getEmployeeList().remove(employee); employee.setEmployee(null); return employee; } } JPA could be used in standalone applications and Java EE containers. In both worlds you normally create a Facade to retrieve or store the values of the Entities to or from the database. The Facade does this via an EntityManager which will be injected by the Java EE container. Here is sample Facade Session Bean for a Java EE container. package demo.proxy.ejb; import java.util.HashMap; import java.util.List; import javax.ejb.Local; import javax.ejb.Remote; import javax.ejb.Stateless; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; import javax.persistence.Query; import javax.interceptor.AroundInvoke; import javax.interceptor.InvocationContext; import oracle.jdbc.driver.OracleConnection; import org.eclipse.persistence.config.EntityManagerProperties; import org.eclipse.persistence.internal.jpa.EntityManagerImpl; @Stateless(name = "DataFacade", mappedName = "ProxyUser-TestEJB-DataFacade") @Remote @Local public class DataFacadeBean implements DataFacade, DataFacadeLocal { @PersistenceContext(unitName = "TestEJB") private EntityManager em; private String username; public Object queryByRange(String jpqlStmt, int firstResult, int maxResults) { // setSessionUser(); Query query = em.createQuery(jpqlStmt); if (firstResult 0) { query = query.setFirstResult(firstResult); } if (maxResults 0) { query = query.setMaxResults(maxResults); } return query.getResultList(); } public Employee persistEmployee(Employee employee) { // setSessionUser(); em.persist(employee); return employee; } public Employee mergeEmployee(Employee employee) { // setSessionUser(); return em.merge(employee); } public void removeEmployee(Employee employee) { // setSessionUser(); employee = em.find(Employee.class, employee.getEmployeeId()); em.remove(employee); } /** select o from Employee o */ public List getEmployeeFindAll() { Query q = em.createNamedQuery("Employee.findAll"); return q.getResultList(); } Putting Both Together To use Proxy Authentication with JPA and within a Java EE container you have to take care of the additional requirements: Use an OCI JDBC driver Provide the user name that connects through the proxy user Use an OCI JDBC driver To use the OCI JDBC driver you need to set up your JDBC data source file to use the correct JDBC URL. hr jdbc:oracle:oci8:@(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=localhost)(PORT=1521))(CONNECT_DATA=(SID=XE))) oracle.jdbc.OracleDriver user app_user 62C32F70E98297522AD97E15439FAC0E SQL SELECT 1 FROM DUAL jdbc/hrDS Application Additionally you need to make sure that the version of the shared libraries of the OCI driver match the version of the JDBC driver in your Java EE container or Java application and are within your PATH (on Windows) or LD_LIBRARY_PATH (on most Unix-based systems). Installing the Oracle Database Instance Client software works perfectly. Provide the user name that connects through the proxy user This part needs some modification of your application software and session facade. Session Facade Changes In the Session Facade we must ensure that every call that goes through the EntityManager must be prepared correctly and uniquely assigned to this session. The second is really important, as the EntityManager works with a connection pool and can not guarantee that we set the proxy user on the connection that will be used for the database activities. To avoid changing every method call of the Session Facade we provide a method to set the username of the user that connects through the proxy user. This method needs to be called by the Facade client bfore doing anything else. public void setUsername(String name) { username = name; } Next we provide a means to instruct the TopLink EntityManager Delegate to use Oracle Proxy Authentication. (I love small helper methods to hide the nitty-gritty details and avoid repeating myself.) private void setSessionUser() { setSessionUser(username); } private void setSessionUser(String user) { if (user != null && !user.isEmpty()) { EntityManagerImpl emDelegate = ((EntityManagerImpl)em.getDelegate()); emDelegate.setProperty(EntityManagerProperties.ORACLE_PROXY_TYPE, OracleConnection.PROXYTYPE_USER_NAME); emDelegate.setProperty(OracleConnection.PROXY_USER_NAME, user); emDelegate.setProperty(EntityManagerProperties.EXCLUSIVE_CONNECTION_MODE, "Always"); } } The final step is use the EJB 3.0 AroundInvoke interceptor. This interceptor will be called around every method invocation. We therefore check whether the Facade methods will be called or not. If so, we set the user for proxy authentication and the normal method flow continues. @AroundInvoke public Object proxyInterceptor(InvocationContext invocationCtx) throws Exception { if (invocationCtx.getTarget() instanceof DataFacadeBean) { setSessionUser(); } return invocationCtx.proceed(); } Benefits Using Oracle Proxy Authentification has a number of additional benefits appart from implementing the role model of your application: Fine grained access control for temporary users of the account, without compromising the original password. Enabling database auditing and logging. Better identification of performance bottlenecks. References Effective Oracle Database 10g Security by Design, David Knox TopLink Developer's Guide, Chapter 98

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  • Replication Services in a BI environment

    - by jorg
    In this blog post I will explain the principles of SQL Server Replication Services without too much detail and I will take a look on the BI capabilities that Replication Services could offer in my opinion. SQL Server Replication Services provides tools to copy and distribute database objects from one database system to another and maintain consistency afterwards. These tools basically copy or synchronize data with little or no transformations, they do not offer capabilities to transform data or apply business rules, like ETL tools do. The only “transformations” Replication Services offers is to filter records or columns out of your data set. You can achieve this by selecting the desired columns of a table and/or by using WHERE statements like this: SELECT <published_columns> FROM [Table] WHERE [DateTime] >= getdate() - 60 There are three types of replication: Transactional Replication This type replicates data on a transactional level. The Log Reader Agent reads directly on the transaction log of the source database (Publisher) and clones the transactions to the Distribution Database (Distributor), this database acts as a queue for the destination database (Subscriber). Next, the Distribution Agent moves the cloned transactions that are stored in the Distribution Database to the Subscriber. The Distribution Agent can either run at scheduled intervals or continuously which offers near real-time replication of data! So for example when a user executes an UPDATE statement on one or multiple records in the publisher database, this transaction (not the data itself) is copied to the distribution database and is then also executed on the subscriber. When the Distribution Agent is set to run continuously this process runs all the time and transactions on the publisher are replicated in small batches (near real-time), when it runs on scheduled intervals it executes larger batches of transactions, but the idea is the same. Snapshot Replication This type of replication makes an initial copy of database objects that need to be replicated, this includes the schemas and the data itself. All types of replication must start with a snapshot of the database objects from the Publisher to initialize the Subscriber. Transactional replication need an initial snapshot of the replicated publisher tables/objects to run its cloned transactions on and maintain consistency. The Snapshot Agent copies the schemas of the tables that will be replicated to files that will be stored in the Snapshot Folder which is a normal folder on the file system. When all the schemas are ready, the data itself will be copied from the Publisher to the snapshot folder. The snapshot is generated as a set of bulk copy program (BCP) files. Next, the Distribution Agent moves the snapshot to the Subscriber, if necessary it applies schema changes first and copies the data itself afterwards. The application of schema changes to the Subscriber is a nice feature, when you change the schema of the Publisher with, for example, an ALTER TABLE statement, that change is propagated by default to the Subscriber(s). Merge Replication Merge replication is typically used in server-to-client environments, for example when subscribers need to receive data, make changes offline, and later synchronize changes with the Publisher and other Subscribers, like with mobile devices that need to synchronize one in a while. Because I don’t really see BI capabilities here, I will not explain this type of replication any further. Replication Services in a BI environment Transactional Replication can be very useful in BI environments. In my opinion you never want to see users to run custom (SSRS) reports or PowerPivot solutions directly on your production database, it can slow down the system and can cause deadlocks in the database which can cause errors. Transactional Replication can offer a read-only, near real-time database for reporting purposes with minimal overhead on the source system. Snapshot Replication can also be useful in BI environments, if you don’t need a near real-time copy of the database, you can choose to use this form of replication. Next to an alternative for Transactional Replication it can be used to stage data so it can be transformed and moved into the data warehousing environment afterwards. In many solutions I have seen developers create multiple SSIS packages that simply copies data from one or more source systems to a staging database that figures as source for the ETL process. The creation of these packages takes a lot of (boring) time, while Replication Services can do the same in minutes. It is possible to filter out columns and/or records and it can even apply schema changes automatically so I think it offers enough features here. I don’t know how the performance will be and if it really works as good for this purpose as I expect, but I want to try this out soon!

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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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  • How to Visualize your Audit Data with BI Publisher?

    - by kanichiro.nishida
      Do you know how many reports on your BI Publisher server are accessed yesterday ? Or, how many users accessed to the reports yesterday, or what are the average number of the users accessed to the reports during the week vs. weekend or morning vs. afternoon ? With BI Publisher 11G, now you can audit your user’s reports access and understand the state of the reporting environment at your server, each user, or each report level. At the previous post I’ve talked about what the BI Publisher’s auditing functionality and how to enable it so that BI Publisher can start collecting such data. (How to Audit and Monitor BI Publisher Reports Access?)Now, how can you visualize such auditing data to have a better understanding and gain more insights? With Fusion Middleware Audit Framework you have an option to store the auditing data into a database instead of a log file, which is the default option. Once you enable the database storage option, that means you have your auditing data (or, user report access data) in your database tables, now no brainer, you can start visualize the data, create reports, analyze, and share with BI Publisher. So, first, let’s take a look on how to enable the database storage option for the auditing data. How to Feed the Auditing Data into Database First you need to create a database schema for Fusion Middleware Audit Framework with RCU (Repository Creation Utility). If you have already installed BI Publisher 11G you should be familiar with this RCU. It creates any database schema necessary to run any Fusion Middleware products including BI stuff. And you can use the same RCU that you used for your BI or BI Publisher installation to create this Audit schema. Create Audit Schema with RCU Here are the steps: Go to $RCU_HOME/bin and execute the ‘rcu’ command Choose Create at the starting screen and click Next. Enter your database details and click Next. Choose the option to create a new prefix, for example ‘BIP’, ‘KAN’, etc. Select 'Audit Services' from the list of schemas. Click Next and accept the tablespace creation. Click Finish to start the process. After this, there should be following three Audit related schema created in your database. <prefix>_IAU (e.g. KAN_IAU) <prefix>_IAU_APPEND (e.g. KAN_IAU_APPEND) <prefix>_IAU_VIEWER (e.g. KAN_IAU_VIEWER) Setup Datasource at WebLogic After you create a database schema for your auditing data, now you need to create a JDBC connection on your WebLogic Server so the Audit Framework can access to the database schema that was created with the RCU with the previous step. Connect to the Oracle WebLogic Server administration console: http://hostname:port/console (e.g. http://report.oracle.com:7001/console) Under Services, click the Data Sources link. Click ‘Lock & Edit’ so that you can make changes Click New –> ‘Generic Datasource’ to create a new data source. Enter the following details for the new data source:  Name: Enter a name such as Audit Data Source-0.  JNDI Name: jdbc/AuditDB  Database Type: Oracle  Click Next and select ‘Oracle's Driver (Thin XA) Versions: 9.0.1 or later’ as Database Driver (if you’re using Oracle database), and click Next. The Connection Properties page appears. Enter the following information: Database Name: Enter the name of the database (SID) to which you will connect. Host Name: Enter the hostname of the database.  Port: Enter the database port.  Database User Name: This is the name of the audit schema that you created in RCU. The suffix is always IAU for the audit schema. For example, if you gave the prefix as ‘BIP’, then the schema name would be ‘KAN_IAU’.  Password: This is the password for the audit schema that you created in RCU.   Click Next. Accept the defaults, and click Test Configuration to verify the connection. Click Next Check listed servers where you want to make this JDBC connection available. Click ‘Finish’ ! After that, make sure you click ‘Activate Changes’ at the left hand side top to take the new JDBC connection in effect. Register your Audit Data Storing Database to your Domain Finally, you can register the JNDI/JDBC datasource as your Auditing data storage with Fusion Middleware Control (EM). Here are the steps: 1. Login to Fusion Middleware Control 2. Navigate to Weblogic Domain, right click on ‘bifoundation…..’, select Security, then Audit Store. 3. Click the searchlight icon next to the Datasource JNDI Name field. 4.Select the Audit JNDI/JDBC datasource you created in the previous step in the pop-up window and click OK. 5. Click Apply to continue. 6. Restart the whole WebLogic Servers in the domain. After this, now the BI Publisher should start feeding all the auditing data into the database table called ‘IAU_BASE’. Try login to BI Publisher and open a couple of reports, you should see the activity audited in the ‘IAU_BASE’ table. If not working, you might want to check the log file, which is located at $BI_HOME/user_projects/domains/bifoundation_domain/servers/AdminServer/logs/AdminServer-diagnostic.log to see if there is any error. Once you have the data in the database table, now, it’s time to visualize with BI Publisher reports! Create a First BI Publisher Auditing Report Register Auditing Datasource as JNDI datasource First thing you need to do is to register the audit datasource (JNDI/JDBC connection) you created in the previous step as JNDI data source at BI Publisher. It is a JDBC connection registered as JNDI, that means you don’t need to create a new JDBC connection by typing the connection URL, username/password, etc. You can just register it using the JNDI name. (e.g. jdbc/AuditDB) Login to BI Publisher as Administrator (e.g. weblogic) Go to Administration Page Click ‘JNDI Connection’ under Data Sources and Click ‘New’ Type Data Source Name and JNDI Name. The JNDI Name is the one you created in the WebLogic Console as the auditing datasource. (e.g. jdbc/AuditDB) Click ‘Test Connection’ to make sure the datasource connection works. Provide appropriate roles so that the report developers or viewers can share this data source to view reports. Click ‘Apply’ to save. Create Data Model Select Data Model from the tool bar menu ‘New’ Set ‘Default Data Source’ to the audit JNDI data source you have created in the previous step. Select ‘SQL Query’ for your data set Use Query Builder to build a query or just type a sql query. Either way, the table you want to report against is ‘IAU_BASE’. This IAU_BASE table contains all the auditing data for other products running on the WebLogic Server such as JPS, OID, etc. So, if you care only specific to BI Publisher then you want to filter by using  ‘IAU_COMPONENTTYPE’ column which contains the product name (e.g. ’xmlpserver’ for BI Publisher). Here is my sample sql query. select     "IAU_BASE"."IAU_COMPONENTTYPE" as "IAU_COMPONENTTYPE",      "IAU_BASE"."IAU_EVENTTYPE" as "IAU_EVENTTYPE",      "IAU_BASE"."IAU_EVENTCATEGORY" as "IAU_EVENTCATEGORY",      "IAU_BASE"."IAU_TSTZORIGINATING" as "IAU_TSTZORIGINATING",    to_char("IAU_TSTZORIGINATING", 'YYYY-MM-DD') IAU_DATE,    to_char("IAU_TSTZORIGINATING", 'DAY') as IAU_DAY,    to_char("IAU_TSTZORIGINATING", 'HH24') as IAU_HH24,    to_char("IAU_TSTZORIGINATING", 'WW') as IAU_WEEK_OF_YEAR,      "IAU_BASE"."IAU_INITIATOR" as "IAU_INITIATOR",      "IAU_BASE"."IAU_RESOURCE" as "IAU_RESOURCE",      "IAU_BASE"."IAU_TARGET" as "IAU_TARGET",      "IAU_BASE"."IAU_MESSAGETEXT" as "IAU_MESSAGETEXT",      "IAU_BASE"."IAU_FAILURECODE" as "IAU_FAILURECODE",      "IAU_BASE"."IAU_REMOTEIP" as "IAU_REMOTEIP" from    "KAN3_IAU"."IAU_BASE" "IAU_BASE" where "IAU_BASE"."IAU_COMPONENTTYPE" = 'xmlpserver' Once you saved a sample XML for this data model, now you can create a report with this data model. Create Report Now you can use one of the BI Publisher’s layout options to design the report layout and visualize the auditing data. I’m a big fan of Online Layout Editor, it’s just so easy and simple to create reports, and on top of that, all the reports created with Online Layout Editor has the Interactive View with automatic data linking and filtering feature without any setting or coding. If you haven’t checked the Interactive View or Online Layout Editor you might want to check these previous blog posts. (Interactive Reporting with BI Publisher 11G, Interactive Master Detail Report Just A Few Clicks Away!) But of course, you can use other layout design option such as RTF template. Here are some sample screenshots of my report design with Online Layout Editor.     Visualize and Gain More Insights about your Customers (Users) ! Now you can visualize your auditing data to have better understanding and gain more insights about your reporting environment you manage. It’s been actually helping me personally to answer the  questios like below.  How many reports are accessed or opened yesterday, today, last week ? Who is accessing which report at what time ? What are the time windows when the most of the reports access happening ? What are the most viewed reports ? Who are the active users ? What are the # of reports access or user access trend for the last month, last 6 months, last 12 months, etc ? I was talking with one of the best concierge in the world at this hotel the other day, and he was telling me that the best concierge knows about their customers inside-out therefore they can provide a very private service that is customized to each customer to meet each customer’s specific needs. Well, this is true when it comes to how to administrate and manage your reporting environment, right ? The best way to serve your customers (report users, including both viewers and developers) is to understand how they use, what they use, when they use. Auditing is not just about compliance, but it’s the way to improve the customer service. The BI Publisher 11G Auditing feature enables just that to help you understand your customers better. Happy customer service, be the best reporting concierge! p.s. please share with us on what other information would be helpful for you for the auditing! Always, any feedback is a great value and inspiration for us!  

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  • How can I grant read-only access to my SQL Server 2008 database?

    - by Adrian Grigore
    Hi, I'm trying to grant read-only access (in other words: select queries only) to a user account on my SQL Server 2008 R2 database. Which rights do I have to grant to the user to make this work? I've tried several kinds of combinations of permissions on the server and the database itself, but in all cases the user could still run update queries or he could not run any queries (not even select) at all. The error message I always got was The server principal "foo" is not able to access the database "bar" under the current security context. Thanks for your help, Adrian

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