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• Exception Handling Differences Between 32/64 Bit

  - by Alois Kraus

  I do quite a bit of debugging .NET applications but from time to time I see things that are impossible (at a first look). I may ask you dear reader what your mental exception handling model is. Exception handling is easy after all right? Lets suppose the following code:         private void F1(object sender, EventArgs e)         {             try             {                 F2();             }             catch (Exception ex)             {                 throw new Exception("even worse Exception");             }           }           private void F2()         {             try             {                 F3();             }             finally             {                 throw new Exception("other exception");             }         }           private void F3()         {             throw new NotImplementedException();         }   What will the call stack look like when you break into the catch(Exception) clause in Windbg (32 and 64 bit on .NET 3.5 SP1)? The mental model I have is that when an exception is thrown the stack frames are unwound until the catch handler can execute. An exception does propagate the call chain upwards.   So when F3 does throw an exception the control flow will resume at the finally handler in F2 which does throw another exception hiding the original one (that is nasty) and then the new Exception will be catched in F1 where the catch handler is executed. So we should see in the catch handler in F1 as call stack only the F1 stack frame right? Well lets try it out in Windbg. For this I created a simple Windows Forms application with one button which does execute the F1 method in its click handler. When you compile the application for 64 bit and the catch handler is reached you will find with the following commands in Windbg   Load sos extension from the same path where mscorwks was loaded in the current process .loadby sos mscorwks   Beak on clr exceptions sxe clr   Continue execution g   Dump mixed call stack container C++  and .NET Stacks interleaved 0:000> !DumpStack OS Thread Id: 0x1d8 (0) Child-SP         RetAddr          Call Site 00000000002c88c0 000007fefa68f0bd KERNELBASE!RaiseException+0x39 00000000002c8990 000007fefac42ed0 mscorwks!RaiseTheExceptionInternalOnly+0x295 00000000002c8a60 000007ff005dd7f4 mscorwks!JIT_Throw+0x130 00000000002c8c10 000007fefa6942e1 WindowsFormsApplication1!WindowsFormsApplication1.Form1.F1(System.Object, System.EventArgs)+0xb4 00000000002c8c60 000007fefa661012 mscorwks!ExceptionTracker::CallHandler+0x145 00000000002c8d60 000007fefa711a72 mscorwks!ExceptionTracker::CallCatchHandler+0x9e 00000000002c8df0 0000000077b055cd mscorwks!ProcessCLRException+0x25e 00000000002c8e90 0000000077ae55f8 ntdll!RtlpExecuteHandlerForUnwind+0xd 00000000002c8ec0 000007fefa637c1a ntdll!RtlUnwindEx+0x539 00000000002c9560 000007fefa711a21 mscorwks!ClrUnwindEx+0x36 00000000002c9a70 0000000077b0554d mscorwks!ProcessCLRException+0x20d 00000000002c9b10 0000000077ae5d1c ntdll!RtlpExecuteHandlerForException+0xd 00000000002c9b40 0000000077b1fe48 ntdll!RtlDispatchException+0x3cb 00000000002ca220 000007fefdaeaa7d ntdll!KiUserExceptionDispatcher+0x2e 00000000002ca7e0 000007fefa68f0bd KERNELBASE!RaiseException+0x39 00000000002ca8b0 000007fefac42ed0 mscorwks!RaiseTheExceptionInternalOnly+0x295 00000000002ca980 000007ff005dd8df mscorwks!JIT_Throw+0x130 00000000002cab30 000007fefa6942e1 WindowsFormsApplication1!WindowsFormsApplication1.Form1.F2()+0x9f 00000000002cab80 000007fefa71b5b3 mscorwks!ExceptionTracker::CallHandler+0x145 00000000002cac80 000007fefa70dcd0 mscorwks!ExceptionTracker::ProcessManagedCallFrame+0x683 00000000002caed0 000007fefa7119af mscorwks!ExceptionTracker::ProcessOSExceptionNotification+0x430 00000000002cbd90 0000000077b055cd mscorwks!ProcessCLRException+0x19b 00000000002cbe30 0000000077ae55f8 ntdll!RtlpExecuteHandlerForUnwind+0xd 00000000002cbe60 000007fefa637c1a ntdll!RtlUnwindEx+0x539 00000000002cc500 000007fefa711a21 mscorwks!ClrUnwindEx+0x36 00000000002cca10 0000000077b0554d mscorwks!ProcessCLRException+0x20d 00000000002ccab0 0000000077ae5d1c ntdll!RtlpExecuteHandlerForException+0xd 00000000002ccae0 0000000077b1fe48 ntdll!RtlDispatchException+0x3cb 00000000002cd1c0 000007fefdaeaa7d ntdll!KiUserExceptionDispatcher+0x2e 00000000002cd780 000007fefa68f0bd KERNELBASE!RaiseException+0x39 00000000002cd850 000007fefac42ed0 mscorwks!RaiseTheExceptionInternalOnly+0x295 00000000002cd920 000007ff005dd968 mscorwks!JIT_Throw+0x130 00000000002cdad0 000007ff005dd875 WindowsFormsApplication1!WindowsFormsApplication1.Form1.F3()+0x48 00000000002cdb10 000007ff005dd786 WindowsFormsApplication1!WindowsFormsApplication1.Form1.F2()+0x35 00000000002cdb60 000007ff005dbe6a WindowsFormsApplication1!WindowsFormsApplication1.Form1.F1(System.Object, System.EventArgs)+0x46 00000000002cdbc0 000007ff005dd452 System_Windows_Forms!System.Windows.Forms.Control.OnClick(System.EventArgs)+0x5a   Hm okaaay. I see my method F1 two times in this call stack. Looks like we did get some recursion bug. But that can´t be given the obvious code above. Let´s try the same thing in a 32 bit process.  0:000> !DumpStack OS Thread Id: 0x33e4 (0) Current frame: KERNELBASE!RaiseException+0x58 ChildEBP RetAddr  Caller,Callee 0028ed38 767db727 KERNELBASE!RaiseException+0x58, calling ntdll!RtlRaiseException 0028ed4c 68b9008c mscorwks!Binder::RawGetClass+0x20, calling mscorwks!Module::LookupTypeDef 0028ed5c 68b904ff mscorwks!Binder::IsClass+0x23, calling mscorwks!Binder::RawGetClass 0028ed68 68bfb96f mscorwks!Binder::IsException+0x14, calling mscorwks!Binder::IsClass 0028ed78 68bfb996 mscorwks!IsExceptionOfType+0x23, calling mscorwks!Binder::IsException 0028ed80 68bfbb1c mscorwks!RaiseTheExceptionInternalOnly+0x2a8, calling KERNEL32!RaiseExceptionStub 0028eda8 68ba0713 mscorwks!Module::ResolveStringRef+0xe0, calling mscorwks!BaseDomain::GetStringObjRefPtrFromUnicodeString 0028edc8 68b91e8d mscorwks!SetObjectReferenceUnchecked+0x19 0028ede0 68c8e910 mscorwks!JIT_Throw+0xfc, calling mscorwks!RaiseTheExceptionInternalOnly 0028ee44 68c8e734 mscorwks!JIT_StrCns+0x22, calling mscorwks!LazyMachStateCaptureState 0028ee54 68c8e865 mscorwks!JIT_Throw+0x1e, calling mscorwks!LazyMachStateCaptureState 0028eea4 02ffaecd (MethodDesc 0x7af08c +0x7d WindowsFormsApplication1.Form1.F1(System.Object, System.EventArgs)), calling mscorwks!JIT_Throw 0028eeec 02ffaf19 (MethodDesc 0x7af098 +0x29 WindowsFormsApplication1.Form1.F2()), calling 06370634 0028ef58 02ffae37 (MethodDesc 0x7a7bb0 +0x4f System.Windows.Forms.Control.OnClick(System.EventArgs))   That does look more familar. The call stack has been unwound and we do see only some frames into the history where the debugger was smart enough to find out that we have called F2 from F1. The exception handling on 64 bit systems does work quite differently which seems to have the nice property to remember the called methods not only during the first pass of exception filter clauses (during first pass all catch handler are called if they are going to catch the exception which is about to be thrown)  but also when the actual stack unwind has taken place. This makes it possible to follow not only the call stack right at the moment but also to look into the “history” of the catch/finally clauses. In a 64 bit process you only need to look at the ExceptionTracker to find out if a catch or finally handler was called. The two frames ProcessManagedCallFrame/CallHandler does indicate a finally clause whereas CallCatchHandler/CallHandler indicates a catch clause. That was a interesting one. Oh and by the way if you manage to load the Microsoft symbols you can also find out the hidden exception which. When you encounter in the call stack a line 0016eb34 75b79617 KERNELBASE!RaiseException+0x58 ====> Exception Code e0434f4d cxr@16e850 exr@16e838 Then it is a good idea to execute .exr 16e838 !analyze –v to find out more. In the managed world it is even easier since we can dump the objects allocated on the stack which have not yet been garbage collected to look at former method parameters. The command !dso which is the abbreviation for dump stack objects will give you 0:000> !dso OS Thread Id: 0x46c (0) ESP/REG  Object   Name 0016dd4c 020737f0 System.Exception 0016dd98 020737f0 System.Exception 0016dda8 01f5c6cc System.Windows.Forms.Button 0016ddac 01f5d2b8 System.EventHandler 0016ddb0 02071744 System.Windows.Forms.MouseEventArgs 0016ddc0 01f5d2b8 System.EventHandler 0016ddcc 01f5c6cc System.Windows.Forms.Button 0016dddc 020737f0 System.Exception 0016dde4 01f5d2b8 System.EventHandler 0016ddec 02071744 System.Windows.Forms.MouseEventArgs 0016de40 020737f0 System.Exception 0016de80 02071744 System.Windows.Forms.MouseEventArgs 0016de8c 01f5d2b8 System.EventHandler 0016de90 01f5c6cc System.Windows.Forms.Button 0016df10 02073784 System.SByte[] 0016df5c 02073684 System.NotImplementedException 0016e2a0 02073684 System.NotImplementedException 0016e2e8 01ed69f4 System.Resources.ResourceManager From there it is easy to do 0:000> !pe 02073684 Exception object: 02073684 Exception type: System.NotImplementedException Message: Die Methode oder der Vorgang sind nicht implementiert. InnerException: <none> StackTrace (generated):     SP       IP       Function     0016ECB0 006904AD WindowsFormsApplication2!WindowsFormsApplication2.Form1.F3()+0x35     0016ECC0 00690411 WindowsFormsApplication2!WindowsFormsApplication2.Form1.F2()+0x29     0016ECF0 0069038F WindowsFormsApplication2!WindowsFormsApplication2.Form1.F1(System.Object, System.EventArgs)+0x3f StackTraceString: <none> HResult: 80004001 to see the former exception. That´s all for today.

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• It's intellisense for SQL Server

  - by Nick Harrison

  It's intellisense for SQL Server Anyone who has ever worked with me, heard me speak, or read any of writings knows that I am a HUGE fan of Reflector.    By extension,  I am a big fan of Red - Gate   I have recently begun exploring some of their other offerings and came across this jewel. SQL Prompt is a plug in for Visual Studio and SQL Server Management Studio.    It provides several tools to make dealing with SQL a little easier for your friendly neighborhood developer. When you a query window in a database, the plugin kicks in and gathers the metadata for the database that you are in.    As you type a query, you get handy feedback like a list of tables after you type select.    You can select one of the tables, specify * and then tab to expand the select clause to include all of the columns from the selected table.    As you are building up the where clause, you are prompted by the names of columns in the selected tables. If you spend any time writing ad hoc queries or building stored procedures by hand, this can save you substantial time. If you are learning a new data model, this can greatly cut down on your frustration level. The other really cool thing here is Format SQL.   I have searched all over the place for a really good SQL formatter.    Badly formatted  SQL is so much harder to read than well formatted SQL.   Unfortunately, management studio offers no support for keeping your SQL well formatted.    There are many tools available to format your SQL.   Some work better than others.    Some don't work that well at all.   Most will give you some measure of control over how the formatted SQL looks.    SQL Prompt produces good results and is easy to configure. Sadly no tool is perfect, and what would we be without a wish list.    There are some features that I would like to see: Make it easier to paste SQL in and out of code.    Strip off string builder, etc Automate replacing hard coded values with bind variables or parameters In addition to reformatting SQL, which is a huge refactor, support for other SQL refactors would be nice.    Convert join to sub query and vice versa come to mind Wish list a side, this is a wonderful tool that easily saves me an hour or more on most weeks.

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• SQL Server Select

  - by Derek D.

  The SQL Server Select statement is the first statement used when returning data. It is the most used and most important statement in the T-SQL language. The Select statement has many different clauses. We will step through each clause further in the tutorial, however now, we will look at Select itself. The following [...]

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• SQL Server 2008 R2: StreamInsight changes at RTM: Access to grouping keys via explicit typing

  - by Greg Low

  One of the problems that existed in the CTP3 edition of StreamInsight was an error that occurred if you tried to access the grouping key from within your projection expression. That was a real issue as you always need access to the key. It's a bit like using a GROUP BY in TSQL and then not including the columns you're grouping by in the SELECT clause. You'd see the results but not be able to know which results are which. Look at the following code: var laneSpeeds = from e in vehicleSpeeds group e...(read more)

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• Geek City: Where are LOBs stored?

  - by Kalen Delaney

  When researching a question from one of the students in my class last week, I was reading the documentation for CREATE TABLE about storing LOB columns at http://msdn.microsoft.com/en-us/library/ms174979.aspx . For this discussion LOB columns includes text, image, ntext, xml and the MAX columns when they are over 8000 bytes and stored outside the regular data row. I knew that SQL Server gives us the capability of storing LOB columns in a separate filegroup with the TEXTIMAGE_ON clause, but I was surprised...(read more)

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• SQL Server Table Polling by Multiple Subscribers

  - by Daniel Hester

  Background Designing Stored Procedures that are safe for multiple subscribers (to call simultaneously) can be challenging.  For example let’s say that you want multiple worker processes to poll a shared work queue that’s encapsulated as a SQL Table. This is a common scenario and through experience you’ll find that you want to use Table Hints to prevent unwanted locking when performing simultaneous queries on the same table. There are three table hints to consider: NOLOCK, READPAST and UPDLOCK. Both NOLOCK and READPAST table hints allow you to SELECT from a table without placing a LOCK on that table. However, SELECTs with the READPAST hint will ignore any records that are locked due to being updated/inserted (or otherwise “dirty”), whereas a SELECT with NOLOCK ignores all locks including dirty reads. For the initial update of the flag (that marks the record as available for subscription) I don’t use the NOLOCK Table Hint because I want to be sensitive to the “active” records in the table and I want to exclude them.  I use an Update Lock (UPDLOCK) in conjunction with a WHERE clause that uses a sub-select with a READPAST Table Hint in order to explicitly lock the records I’m updating (UPDLOCK) but not place a lock on the table when selecting the records that I’m going to update (READPAST). UPDATES should be allowed to lock the rows affected because we’re probably changing a flag on a record so that it is not included in a SELECT from another subscriber. On the UPDATE statement we should explicitly use the UPDLOCK to guard against lock escalation. A SELECT to check for the next record(s) to process can result in a shared read lock being held by more than one subscriber polling the shared work queue (SQL table). It is expected that more than one worker process (or server) might try to process the same new record(s) at the same time. When each process then tries to obtain the update lock, none of them can because another process has a shared read lock in place. Thus without the UPDLOCK hint the result would be a lock escalation deadlock; however with the UPDLOCK hint this condition is mitigated against. Note that using the READPAST table hint requires that you also set the ISOLATION LEVEL of the transaction to be READ COMMITTED (rather than the default of SERIALIZABLE). Guidance In the Stored Procedure that returns records to the multiple subscribers: Perform the UPDATE first. Change the flag that makes the record available to subscribers.  Additionally, you may want to update a LastUpdated datetime field in order to be able to check for records that “got stuck” in an intermediate state or for other auditing purposes. In the UPDATE statement use the (UPDLOCK) Table Hint on the UPDATE statement to prevent lock escalation. In the UPDATE statement also use a WHERE Clause that uses a sub-select with a (READPAST) Table Hint to select the records that you’re going to update. In the UPDATE statement use the OUTPUT clause in conjunction with a Temporary Table to isolate the record(s) that you’ve just updated and intend to return to the subscriber. This is the fastest way to update the record(s) and to get the records’ identifiers within the same operation. Finally do a set-based SELECT on the main Table (using the Temporary Table to identify the records in the set) with either a READPAST or NOLOCK table hint.  Use NOLOCK if there are other processes (besides the multiple subscribers) that might be changing the data that you want to return to the multiple subscribers; or use READPAST if you're sure there are no other processes (besides the multiple subscribers) that might be updating column data in the table for other purposes (e.g. changes to a person’s last name).  NOLOCK is generally the better fit in this part of the scenario. See the following as an example: CREATE PROCEDURE [dbo].[usp_NewCustomersSelect] AS BEGIN -- OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON -- DECLARE TEMP TABLE -- Note that this example uses CustomerId as an identifier; -- you could just use the Identity column Id if that’s all you need. DECLARE @CustomersTempTable TABLE ( CustomerId NVARCHAR(255) ) -- PERFORM UPDATE FIRST -- [Customers] is the name of the table -- [Id] is the Identity Column on the table -- [CustomerId] is the business document key used to identify the -- record globally, i.e. in other systems or across SQL tables -- [Status] is INT or BIT field (if the status is a binary state) -- [LastUpdated] is a datetime field used to record the time of the -- last update UPDATE [Customers] WITH (UPDLOCK) SET [Status] = 1, [LastUpdated] = GETDATE() OUTPUT [INSERTED].[CustomerId] INTO @CustomersTempTable WHERE ([Id] = (SELECT TOP 100 [Id] FROM [Customers] WITH (READPAST) WHERE ([Status] = 0) ORDER BY [Id] ASC)) -- PERFORM SELECT FROM ENTITY TABLE SELECT [C].[CustomerId], [C].[FirstName], [C].[LastName], [C].[Address1], [C].[Address2], [C].[City], [C].[State], [C].[Zip], [C].[ShippingMethod], [C].[Id] FROM [Customers] AS [C] WITH (NOLOCK), @CustomersTempTable AS [TEMP] WHERE ([C].[CustomerId] = [TEMP].[CustomerId]) END In a system that has been designed to have multiple status values for records that need to be processed in the Work Queue it is necessary to have a “Watch Dog” process by which “stale” records in intermediate states (such as “In Progress”) are detected, i.e. a [Status] of 0 = New or Unprocessed; a [Status] of 1 = In Progress; a [Status] of 2 = Processed; etc.. Thus, if you have a business rule that states that the application should only process new records if all of the old records have been processed successfully (or marked as an error), then it will be necessary to build a monitoring process to detect stalled or stale records in the Work Queue, hence the use of the LastUpdated column in the example above. The Status field along with the LastUpdated field can be used as the criteria to detect stalled / stale records. It is possible to put this watchdog logic into the stored procedure above, but I would recommend making it a separate monitoring function. In writing the stored procedure that checks for stale records I would recommend using the same kind of lock semantics as suggested above. The example below looks for records that have been in the “In Progress” state ([Status] = 1) for greater than 60 seconds: CREATE PROCEDURE [dbo].[usp_NewCustomersWatchDog] AS BEGIN -- TO OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON DECLARE @MaxWait int; SET @MaxWait = 60 IF EXISTS (SELECT 1 FROM [dbo].[Customers] WITH (READPAST) WHERE ([Status] = 1) AND (DATEDIFF(s, [LastUpdated], GETDATE()) > @MaxWait)) BEGIN SELECT 1 AS [IsWatchDogError] END ELSE BEGIN SELECT 0 AS [IsWatchDogError] END END Downloads The zip file below contains two SQL scripts: one to create a sample database with the above stored procedures and one to populate the sample database with 10,000 sample records.  I am very grateful to Red-Gate software for their excellent SQL Data Generator tool which enabled me to create these sample records in no time at all. References http://msdn.microsoft.com/en-us/library/ms187373.aspx http://www.techrepublic.com/article/using-nolock-and-readpast-table-hints-in-sql-server/6185492 http://geekswithblogs.net/gwiele/archive/2004/11/25/15974.aspx http://grounding.co.za/blogs/romiko/archive/2009/03/09/biztalk-sql-receive-location-deadlocks-dirty-reads-and-isolation-levels.aspx

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• Find Duplicate Items in a Table

  - by Derek Dieter

  A very common scenario when querying tables is the need to find duplicate items within the same table. To do this is simple, it requires utilizing the GROUP BY clause and counting the number of recurrences. For example, lets take a customers table. Within the customers table, we want to find all [...]

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• SQL Server Cast

  - by Derek Dieter

  The SQL Server cast function is the easiest data type conversion function to be used compared to the CONVERT function. It takes only one parameter followed by the AS clause to convert a specified value. A quick example is the following:SELECT UserID_String = CAST(UserID AS varchar(50)) FROM dbo.UserThis example will convert the integer to a character value. [...]

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• Reasoner Conversion Problems:

  - by Annalyne

  I have this code right here in Java and I wanted to translate it in C++, but I had some problems going: this is the java code: import java.io.*; import java.util.*; public class ClueReasoner { private int numPlayers; private int playerNum; private int numCards; private SATSolver solver; private String caseFile = "cf"; private String[] players = {"sc", "mu", "wh", "gr", "pe", "pl"}; private String[] suspects = {"mu", "pl", "gr", "pe", "sc", "wh"}; private String[] weapons = {"kn", "ca", "re", "ro", "pi", "wr"}; private String[] rooms = {"ha", "lo", "di", "ki", "ba", "co", "bi", "li", "st"}; private String[] cards; public ClueReasoner() { numPlayers = players.length; // Initialize card info cards = new String[suspects.length + weapons.length + rooms.length]; int i = 0; for (String card : suspects) cards[i++] = card; for (String card : weapons) cards[i++] = card; for (String card : rooms) cards[i++] = card; numCards = i; // Initialize solver solver = new SATSolver(); addInitialClauses(); } private int getPlayerNum(String player) { if (player.equals(caseFile)) return numPlayers; for (int i = 0; i < numPlayers; i++) if (player.equals(players[i])) return i; System.out.println("Illegal player: " + player); return -1; } private int getCardNum(String card) { for (int i = 0; i < numCards; i++) if (card.equals(cards[i])) return i; System.out.println("Illegal card: " + card); return -1; } private int getPairNum(String player, String card) { return getPairNum(getPlayerNum(player), getCardNum(card)); } private int getPairNum(int playerNum, int cardNum) { return playerNum * numCards + cardNum + 1; } public void addInitialClauses() { // TO BE IMPLEMENTED AS AN EXERCISE // Each card is in at least one place (including case file). for (int c = 0; c < numCards; c++) { int[] clause = new int[numPlayers + 1]; for (int p = 0; p <= numPlayers; p++) clause[p] = getPairNum(p, c); solver.addClause(clause); } // If a card is one place, it cannot be in another place. // At least one card of each category is in the case file. // No two cards in each category can both be in the case file. } public void hand(String player, String[] cards) { playerNum = getPlayerNum(player); // TO BE IMPLEMENTED AS AN EXERCISE } public void suggest(String suggester, String card1, String card2, String card3, String refuter, String cardShown) { // TO BE IMPLEMENTED AS AN EXERCISE } public void accuse(String accuser, String card1, String card2, String card3, boolean isCorrect) { // TO BE IMPLEMENTED AS AN EXERCISE } public int query(String player, String card) { return solver.testLiteral(getPairNum(player, card)); } public String queryString(int returnCode) { if (returnCode == SATSolver.TRUE) return "Y"; else if (returnCode == SATSolver.FALSE) return "n"; else return "-"; } public void printNotepad() { PrintStream out = System.out; for (String player : players) out.print("\t" + player); out.println("\t" + caseFile); for (String card : cards) { out.print(card + "\t"); for (String player : players) out.print(queryString(query(player, card)) + "\t"); out.println(queryString(query(caseFile, card))); } } public static void main(String[] args) { ClueReasoner cr = new ClueReasoner(); String[] myCards = {"wh", "li", "st"}; cr.hand("sc", myCards); cr.suggest("sc", "sc", "ro", "lo", "mu", "sc"); cr.suggest("mu", "pe", "pi", "di", "pe", null); cr.suggest("wh", "mu", "re", "ba", "pe", null); cr.suggest("gr", "wh", "kn", "ba", "pl", null); cr.suggest("pe", "gr", "ca", "di", "wh", null); cr.suggest("pl", "wh", "wr", "st", "sc", "wh"); cr.suggest("sc", "pl", "ro", "co", "mu", "pl"); cr.suggest("mu", "pe", "ro", "ba", "wh", null); cr.suggest("wh", "mu", "ca", "st", "gr", null); cr.suggest("gr", "pe", "kn", "di", "pe", null); cr.suggest("pe", "mu", "pi", "di", "pl", null); cr.suggest("pl", "gr", "kn", "co", "wh", null); cr.suggest("sc", "pe", "kn", "lo", "mu", "lo"); cr.suggest("mu", "pe", "kn", "di", "wh", null); cr.suggest("wh", "pe", "wr", "ha", "gr", null); cr.suggest("gr", "wh", "pi", "co", "pl", null); cr.suggest("pe", "sc", "pi", "ha", "mu", null); cr.suggest("pl", "pe", "pi", "ba", null, null); cr.suggest("sc", "wh", "pi", "ha", "pe", "ha"); cr.suggest("wh", "pe", "pi", "ha", "pe", null); cr.suggest("pe", "pe", "pi", "ha", null, null); cr.suggest("sc", "gr", "pi", "st", "wh", "gr"); cr.suggest("mu", "pe", "pi", "ba", "pl", null); cr.suggest("wh", "pe", "pi", "st", "sc", "st"); cr.suggest("gr", "wh", "pi", "st", "sc", "wh"); cr.suggest("pe", "wh", "pi", "st", "sc", "wh"); cr.suggest("pl", "pe", "pi", "ki", "gr", null); cr.printNotepad(); cr.accuse("sc", "pe", "pi", "bi", true); } } how can I convert this? there are too many errors I get. for my C++ code (as a commentor asked for) #include <iostream> #include <cstdlib> #include <string> using namespace std; void Scene_Reasoner() { int numPlayer; int playerNum; int cardNum; string filecase = "Case: "; string players [] = {"sc", "mu", "wh", "gr", "pe", "pl"}; string suspects [] = {"mu", "pl", "gr", "pe", "sc", "wh"}; string weapons [] = {"kn", "ca", "re", "ro", "pi", "wr"}; string rooms[] = {"ha", "lo", "di", "ki", "ba", "co", "bi", "li", "st"}; string cards [0]; }; void Scene_Reason_Base () { numPlayer = players.length; // Initialize card info cards = new String[suspects.length + weapons.length + rooms.length]; int i = 0; for (String card : suspects) cards[i++] = card; for (String card : weapons) cards[i++] = card; for (String card : rooms) cards[i++] = card; cardNum = i; }; private int getCardNum (string card) { for (int i = 0; i < numCards; i++) if (card.equals(cards[i])) return i; cout << "Illegal card: " + card <<endl; return -1; }; private int getPairNum(String player, String card) { return getPairNum(getPlayerNum(player), getCardNum(card)); }; private int getPairNum(int playerNum, int cardNum) { return playerNum * numCards + cardNum + 1; }; int main () { return 0; }

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• Find Duplicate Fields in a Table

  - by Derek Dieter

  A common scenario when querying tables is the need to find duplicate fields within the same table. To do this is simple, it requires utilizing the GROUP BY clause and counting the number of recurrences. For example, lets take a customers table. Within the customers table, we want to find all the [...]

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• Is it common practice to hire third parties to do code reviews for contractors?

  - by blueberryfields

  I recently observed some contract offers which included a "code review by third party" clause - the contract would not pay out fully until the code review was completed and it received a pass. I was surprised, especially considering that these were fairly simple, and small-scale contracts (churning out vanity apps for the iPhone). Is this kind of third-party code review a common thing to run into when contracting out as a programmer?

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• Stairway to XML: Level 5 - The XML exist() and nodes() Methods

  The XML exist() method is used, often in a WHERE clause, to check the existence of an element within an XML document or fragment. The nodes() method lets you shred an XML instance and return the information as relational data. 12 essential tools for database professionalsThe SQL Developer Bundle contains 12 tools designed with the SQL Server developer and DBA in mind. Try it now.

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• 7,500 Online Shoppers Unknowingly Sold Their Souls

  <b>Fox News:</b> "A computer game retailer revealed that it legally owns the souls of thousands of online shoppers, thanks to a clause in the terms and conditions agreed to by online shoppers."

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• Tricky situation with EF and Include while projecting (Select / SelectMany)

  - by Vincent Grondin

  Originally posted on: http://geekswithblogs.net/vincentgrondin/archive/2014/06/07/tricky-situation-with-ef-and-include-while-projecting-select.aspxHello, the other day I stumbled on a problem I had a while back with EF and Include method calls and decided this was it and I was going to blog about it…  This would sort of to pin it inside my head and maybe help others too !  So I was using DBContext and wanted to query a DBSet and include some of it’s associations and in the end, do a projection to get a list of Ids…   At first it seems easy…  Query your DBSet, call Include right afterward, then code the rest of your statement with the appropriate where clause and then, do the projection…   Well it wasn’t that easy as my query required I code my where on some entities a few degree further in the association chain and most of these links where “Many”…  I had to do my projection right away with the SelectMany method.  So I did my stuff and tested the query….  no association where loaded…  My Include statement was simply ignored !  Then I remembered this behavior and how to get it to work…  You need to move the Include AFTER your first projection (Select or SelectMany).  So my sequence became:   Query the DBSet, do the projection with SelectMany, Include the associations, code the where clause and do the final projection…. but it wouldn’t compile…   It kept saying that it could not find an “Include” method on an IQueryable… which is perfectly true!  I knew this should work so I went to the definition of the DBset and saw it inherited DBQuery and sure enough the include method was there…  So I had to cast my statement from start until the end of the first projection in a DBQuery then do the Includes and then the rest of my query….   Bottom line is, whenever your Include statement seem to be ignored, then maybe you will need to move them further down in your query and cast your statement in whatever class gives you access to the Include…   Happy coding all !

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• The DELETE statement in SQL Server

  Of the big four DML statements in SQL Server, the DELETE is the one least written about. This is odd considering the extra power conferred on the statement by the addition of the WITH common_table_expression; and the OUTPUT clause that essentially allows you to move data from one table to another in one statement. NEW! SQL Monitor 2.0Monitor SQL Server Central's servers withRed Gate's new SQL Monitor.No installation required. Find out more.

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• Using Dynamic SQL in Stored Procedures

  Dynamic SQL allows stored procedures to “write” or dynamically generate their SQL statements. The most common use case for dynamic SQL is stored procedures with optional parameters in the WHERE clause. These are typically called from reports or screens that have multiple, optional search criteria. This article describes how to write these types of stored procedures so they execute well and resist SQL injection attacks.

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• How to simulate Apache [END] flag on a redirect?

  - by Javier Méndez

  For business-specific reasons I created the following rewrite rule for Apache 2.2.22 (mod_rewrite): RewriteRule /site/(\d+)/([^/]+)\.html /site/$2/$1 [R=301,L] Which if given an URL like: http://www.mydomain.com/site/0999/document.html Is translated to: http://www.mydomain.com/site/document/0999.html That's the expected scenario. However, there are documents which name are only numbers. So consider the following case: http://www.mydomain.com/site/0055/0666.html Gets translated to: http://www.mydomain.com/site/0666/0055.html Which also matches my rewrite rule pattern, so I end up with "The web page resulted in too many redirects" errors from browsers. I have researched for a long time, and haven't found "good" solutions. Things I tried: Use the [END] flag. Unfortunately is not available on my Apache version nor it works with redirects. Use %{ENV:REDIRECT_STATUS} on a RewriteCond clause to end the rewrite process (L). For some reason %{ENV:REDIRECT_STATUS} is empty all the times I tried. Add a response header with the Header clause if my rule matches and then check for that header (see: here for details). Seems that a) REDIRECT_addHeader is empty b) headers are can't be set on the 301 response explicitly. There is another alternative. I could set a query parameter to the redirect URL which indicates it comes from a redirect, but I don't like that solution as it seems to hacky. Is there a way to do exactly what the [END] flag does but in older Apache versions? Such as mine 2.2.22. Thanks!

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• C#/.NET &ndash; Finding an Item&rsquo;s Index in IEnumerable&lt;T&gt;

  - by James Michael Hare

  Sorry for the long blogging hiatus.  First it was, of course, the holidays hustle and bustle, then my brother and his wife gave birth to their son, so I’ve been away from my blogging for two weeks. Background: Finding an item’s index in List<T> is easy… Many times in our day to day programming activities, we want to find the index of an item in a collection.  Now, if we have a List<T> and we’re looking for the item itself this is trivial: 1: // assume have a list of ints: 2: var list = new List<int> { 1, 13, 42, 64, 121, 77, 5, 99, 132 }; 3:  4: // can find the exact item using IndexOf() 5: var pos = list.IndexOf(64); This will return the position of the item if it’s found, or –1 if not.  It’s easy to see how this works for primitive types where equality is well defined.  For complex types, however, it will attempt to compare them using EqualityComparer<T>.Default which, in a nutshell, relies on the object’s Equals() method. So what if we want to search for a condition instead of equality?  That’s also easy in a List<T> with the FindIndex() method: 1: // assume have a list of ints: 2: var list = new List<int> { 1, 13, 42, 64, 121, 77, 5, 99, 132 }; 3:  4: // finds index of first even number or -1 if not found. 5: var pos = list.FindIndex(i => i % 2 == 0);   Problem: Finding an item’s index in IEnumerable<T> is not so easy... This is all well and good for lists, but what if we want to do the same thing for IEnumerable<T>?  A collection of IEnumerable<T> has no indexing, so there’s no direct method to find an item’s index.  LINQ, as powerful as it is, gives us many tools to get us this information, but not in one step.  As with almost any problem involving collections, there are several ways to accomplish the same goal.  And once again as with almost any problem involving collections, the choice of the solution somewhat depends on the situation. So let’s look at a few possible alternatives.  I’m going to express each of these as extension methods for simplicity and consistency. Solution: The TakeWhile() and Count() combo One of the things you can do is to perform a TakeWhile() on the list as long as your find condition is not true, and then do a Count() of the items it took.  The only downside to this method is that if the item is not in the list, the index will be the full Count() of items, and not –1.  So if you don’t know the size of the list beforehand, this can be confusing. 1: // a collection of extra extension methods off IEnumerable<T> 2: public static class EnumerableExtensions 3: { 4: // Finds an item in the collection, similar to List<T>.FindIndex() 5: public static int FindIndex<T>(this IEnumerable<T> list, Predicate<T> finder) 6: { 7: // note if item not found, result is length and not -1! 8: return list.TakeWhile(i => !finder(i)).Count(); 9: } 10: } Personally, I don’t like switching the paradigm of not found away from –1, so this is one of my least favorites.  Solution: Select with index Many people don’t realize that there is an alternative form of the LINQ Select() method that will provide you an index of the item being selected: 1: list.Select( (item,index) => do something here with the item and/or index... ) This can come in handy, but must be treated with care.  This is because the index provided is only as pertains to the result of previous operations (if any).  For example: 1: // assume have a list of ints: 2: var list = new List<int> { 1, 13, 42, 64, 121, 77, 5, 99, 132 }; 3:  4: // you'd hope this would give you the indexes of the even numbers 5: // which would be 2, 3, 8, but in reality it gives you 0, 1, 2 6: list.Where(item => item % 2 == 0).Select((item,index) => index); The reason the example gives you the collection { 0, 1, 2 } is because the where clause passes over any items that are odd, and therefore only the even items are given to the select and only they are given indexes. Conversely, we can’t select the index and then test the item in a Where() clause, because then the Where() clause would be operating on the index and not the item! So, what we have to do is to select the item and index and put them together in an anonymous type.  It looks ugly, but it works: 1: // extensions defined on IEnumerable<T> 2: public static class EnumerableExtensions 3: { 4: // finds an item in a collection, similar to List<T>.FindIndex() 5: public static int FindIndex<T>(this IEnumerable<T> list, Predicate<T> finder) 6: { 7: // if you don't name the anonymous properties they are the variable names 8: return list.Select((item, index) => new { item, index }) 9: .Where(p => finder(p.item)) 10: .Select(p => p.index + 1) 11: .FirstOrDefault() - 1; 12: } 13: }     So let’s look at this, because i know it’s convoluted: First Select() joins the items and their indexes into an anonymous type. Where() filters that list to only the ones matching the predicate. Second Select() picks the index of the matches and adds 1 – this is to distinguish between not found and first item. FirstOrDefault() returns the first item found from the previous clauses or default (zero) if not found. Subtract one so that not found (zero) will be –1, and first item (one) will be zero. The bad thing is, this is ugly as hell and creates anonymous objects for each item tested until it finds the match.  This concerns me a bit but we’ll defer judgment until compare the relative performances below. Solution: Convert ToList() and use FindIndex() This solution is easy enough.  We know any IEnumerable<T> can be converted to List<T> using the LINQ extension method ToList(), so we can easily convert the collection to a list and then just use the FindIndex() method baked into List<T>. 1: // a collection of extension methods for IEnumerable<T> 2: public static class EnumerableExtensions 3: { 4: // find the index of an item in the collection similar to List<T>.FindIndex() 5: public static int FindIndex<T>(this IEnumerable<T> list, Predicate<T> finder) 6: { 7: return list.ToList().FindIndex(finder); 8: } 9: } This solution is simplicity itself!  It is very concise and elegant and you need not worry about anyone misinterpreting what it’s trying to do (as opposed to the more convoluted LINQ methods above). But the main thing I’m concerned about here is the performance hit to allocate the List<T> in the ToList() call, but once again we’ll explore that in a second. Solution: Roll your own FindIndex() for IEnumerable<T> Of course, you can always roll your own FindIndex() method for IEnumerable<T>.  It would be a very simple for loop which scans for the item and counts as it goes.  There’s many ways to do this, but one such way might look like: 1: // extension methods for IEnumerable<T> 2: public static class EnumerableExtensions 3: { 4: // Finds an item matching a predicate in the enumeration, much like List<T>.FindIndex() 5: public static int FindIndex<T>(this IEnumerable<T> list, Predicate<T> finder) 6: { 7: int index = 0; 8: foreach (var item in list) 9: { 10: if (finder(item)) 11: { 12: return index; 13: } 14:  15: index++; 16: } 17:  18: return -1; 19: } 20: } Well, it’s not quite simplicity, and those less familiar with LINQ may prefer it since it doesn’t include all of the lambdas and behind the scenes iterators that come with deferred execution.  But does having this long, blown out method really gain us much in performance? Comparison of Proposed Solutions So we’ve now seen four solutions, let’s analyze their collective performance.  I took each of the four methods described above and run them over 100,000 iterations of lists of size 10, 100, 1000, and 10000 and here’s the performance results.  Then I looked for targets at the begining of the list (best case), middle of the list (the average case) and not in the list (worst case as must scan all of the list). Each of the times below is the average time in milliseconds for one execution as computer over the 100,000 iterations: Searches Matching First Item (Best Case)   10 100 1000 10000 TakeWhile 0.0003 0.0003 0.0003 0.0003 Select 0.0005 0.0005 0.0005 0.0005 ToList 0.0002 0.0003 0.0013 0.0121 Manual 0.0001 0.0001 0.0001 0.0001   Searches Matching Middle Item (Average Case)   10 100 1000 10000 TakeWhile 0.0004 0.0020 0.0191 0.1889 Select 0.0008 0.0042 0.0387 0.3802 ToList 0.0002 0.0007 0.0057 0.0562 Manual 0.0002 0.0013 0.0129 0.1255   Searches Where Not Found (Worst Case)   10 100 1000 10000 TakeWhile 0.0006 0.0039 0.0381 0.3770 Select 0.0012 0.0081 0.0758 0.7583 ToList 0.0002 0.0012 0.0100 0.0996 Manual 0.0003 0.0026 0.0253 0.2514   Notice something interesting here, you’d think the “roll your own” loop would be the most efficient, but it only wins when the item is first (or very close to it) regardless of list size.  In almost all other cases though and in particular the average case and worst case, the ToList()/FindIndex() combo wins for performance, even though it is creating some temporary memory to hold the List<T>.  If you examine the algorithm, the reason why is most likely because once it’s in a ToList() form, internally FindIndex() scans the internal array which is much more efficient to iterate over.  Thus, it takes a one time performance hit (not including any GC impact) to create the List<T> but after that the performance is much better. Summary If you’re concerned about too many throw-away objects, you can always roll your own FindIndex() method, but for sheer simplicity and overall performance, using the ToList()/FindIndex() combo performs best on nearly all list sizes in the average and worst cases.    Technorati Tags: C#,.NET,Litte Wonders,BlackRabbitCoder,Software,LINQ,List

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• It&rsquo;s ok to throw System.Exception&hellip;

  - by Chris Skardon

  No. No it’s not. It’s not just me saying that, it’s the Microsoft guidelines: http://msdn.microsoft.com/en-us/library/ms229007.aspx  Do not throw System.Exception or System.SystemException. Also – as important: Do not catch System.Exception or System.SystemException in framework code, unless you intend to re-throw.. Throwing: Always, always try to pick the most specific exception type you can, if the parameter you have received in your method is null, throw an ArgumentNullException, value received greater than expected? ArgumentOutOfRangeException. For example: public void ArgChecker(int theInt, string theString) { if (theInt < 0) throw new ArgumentOutOfRangeException("theInt", theInt, "theInt needs to be greater than zero."); if (theString == null) throw new ArgumentNullException("theString"); if (theString.Length == 0) throw new ArgumentException("theString needs to have content.", "theString"); } Why do we want to do this? It’s a lot of extra code when compared with a simple: public void ArgChecker(int theInt, string theString) { if (theInt < 0 || string.IsNullOrWhiteSpace(theString)) throw new Exception("The parameters were invalid."); } It all comes down to a couple of things; the catching of the exceptions, and the information you are passing back to the calling code. Catching: Ok, so let’s go with introduction level Exception handling, taught by many-a-university: You do all your work in a try clause, and catch anything wrong in the catch clause. So this tends to give us code like this: try { /* All the shizzle */ } catch { /* Deal with errors */ } But of course, we can improve on that by catching the exception so we can report on it: try { } catch(Exception ex) { /* Log that 'ex' occurred? */ } Now we’re at the point where people tend to go: Brilliant, I’ve got exception handling nailed, what next??? and code gets littered with the catch(Exception ex) nastiness. Why is it nasty? Let’s imagine for a moment our code is throwing an ArgumentNullException which we’re catching in the catch block and logging. Ok, the log entry has been made, so we can debug the code right? We’ve got all the info… What about an OutOfMemoryException – what can we do with that? That’s right, not a lot, chances are you can’t even log it (you are out of memory after all), but you’ve caught it – and as such - have hidden it. So, as part of this, there are two things you can do one, is the rethrow method: try { /* code */ } catch (Exception ex) { //Log throw; } Note, it’s not catch (Exception ex) { throw ex; } as that will wipe all your important stack trace information. This does get your exception to continue, and is the only reason you would catch Exception (anywhere other than a global catch-all) in your code. The other preferred method is to catch the exceptions you can deal with. It may not matter that the string I’m passing in is null, and I can cope with it like this: try{ DoSomething(myString); } catch(ArgumentNullException){} And that’s fine, it means that any exceptions I can’t deal with (OutOfMemory for example) will be propagated out to other code that can deal with it. Of course, this is horribly messy, no one wants try / catch blocks everywhere and that’s why Microsoft added the ‘Try’ methods to the framework, and it’s a strategy we should continue. If I try: int i = (int) "one"; I will get an InvalidCastException which means I need the try / catch block, but I could mitigate this using the ‘TryParse’ method: int i; if(!Int32.TryParse("one", out i)) return; Similarly, in the ‘DoSomething’ example, it might be beneficial to have a ‘TryDoSomething’ that returns a boolean value indicating the success of continuing. Obviously this isn’t practical in every case, so use the ol’ common sense approach. Onwards Yer thanks Chris, I’m looking forward to writing tonnes of new code. Fear not, that is where helpers come into it… (but that’s the next post)

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• LINQ and ordering of the result set

  - by vik20000in

  After filtering and retrieving the records most of the time (if not always) we have to sort the record in certain order. The sort order is very important for displaying records or major calculations. In LINQ for sorting data the order keyword is used. With the help of the order keyword we can decide on the ordering of the result set that is retrieved after the query.  Below is an simple example of the order keyword in LINQ.     string[] words = { "cherry", "apple", "blueberry" };     var sortedWords =         from word in words         orderby word         select word; Here we are ordering the data retrieved based on the string ordering. If required the order can also be made on any of the property of the individual like the length of the string.     var sortedWords =         from word in words         orderby word.Length         select word; You can also make the order descending or ascending by adding the keyword after the parameter.     var sortedWords =         from word in words         orderby word descending         select word; But the best part of the order clause is that instead of just passing a field you can also pass the order clause an instance of any class that implements IComparer interface. The IComparer interface holds a method Compare that Has to be implemented. In that method we can write any logic whatsoever for the comparision. In the below example we are making a string comparison by ignoring the case. string[] words = { "aPPLE", "AbAcUs", "bRaNcH", "BlUeBeRrY", "cHeRry"}; var sortedWords = words.OrderBy(a => a, new CaseInsensitiveComparer());  public class CaseInsensitiveComparer : IComparer<string> {     public int Compare(string x, string y)     {         return string.Compare(x, y, StringComparison.OrdinalIgnoreCase);     } }  But while sorting the data many a times we want to provide more than one sort so that data is sorted based on more than one condition. This can be achieved by proving the next order followed by a comma.     var sortedWords =         from word in words         orderby word , word.length         select word; We can also use the reverse() method to reverse the full order of the result set.     var sortedWords =         from word in words         select word.Reverse();                                 Vikram

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• Inappropriate Updates?

  - by Tony Davis

  A recent Simple-talk article by Kathi Kellenberger dissected the fastest SQL solution, submitted by Peter Larsson as part of Phil Factor's SQL Speed Phreak challenge, to the classic "running total" problem. In its analysis of the code, the article re-ignited a heated debate regarding the techniques that should, and should not, be deemed acceptable in your search for fast SQL code. Peter's code for running total calculation uses a variation of a somewhat contentious technique, sometimes referred to as a "quirky update": SET @Subscribers = Subscribers = @Subscribers + PeopleJoined - PeopleLeft This form of the UPDATE statement, @variable = column = expression, is documented and it allows you to set a variable to the value returned by the expression. Microsoft does not guarantee the order in which rows are updated in this technique because, in relational theory, a table doesn’t have a natural order to its rows and the UPDATE statement has no means of specifying the order. Traditionally, in cases where a specific order is requires, such as for running aggregate calculations, programmers who used the technique have relied on the fact that the UPDATE statement, without the WHERE clause, is executed in the order imposed by the clustered index, or in heap order, if there isn’t one. Peter wasn’t satisfied with this, and so used the ingenious device of assuring the order of the UPDATE by the use of an "ordered CTE", based on an underlying temporary staging table (a heap). However, in either case, the ordering is still not guaranteed and, in addition, would be broken under conditions of parallelism, or partitioning. Many argue, with validity, that this reliance on a given order where none can ever be guaranteed is an abuse of basic relational principles, and so is a bad practice; perhaps even irresponsible. More importantly, Microsoft doesn't wish to support the technique and offers no guarantee that it will always work. If you put it into production and it breaks in a later version, you can't file a bug. As such, many believe that the technique should never be tolerated in a production system, under any circumstances. Is this attitude justified? After all, both forms of the technique, using a clustered index to guarantee the order or using an ordered CTE, have been tested rigorously and are proven to be robust; although not guaranteed by Microsoft, the ordering is reliable, provided none of the conditions that are known to break it are violated. In Peter's particular case, the technique is being applied to a temporary table, where the developer has full control of the data ordering, and indexing, and knows that the table will never be subject to parallelism or partitioning. It might be argued that, in such circumstances, the technique is not really "quirky" at all and to ban it from your systems would server no real purpose other than to deprive yourself of a reliable technique that has uses that extend well beyond the running total calculations. Of course, it is doubly important that such a technique, including its unsupported status and the assumptions that underpin its success, is fully and clearly documented, preferably even when posting it online in a competition or forum post. Ultimately, however, this technique has been available to programmers throughout the time Sybase and SQL Server has existed, and so cannot be lightly cast aside, even if one sympathises with Microsoft for the awkwardness of maintaining an archaic way of doing updates. After all, a Table hint could easily be devised that, if specified in the WITH (<Table_Hint_Limited>) clause, could be used to request the database engine to do the update in the conventional order. Then perhaps everyone would be satisfied. Cheers, Tony.

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• Looking under the hood of SSRS

  - by Jim Giercyk

  SSRS is a powerful tool, but there is very little available to measure it’s performance or view the SSRS execution log or catalog in detail.  Here are a few simple queries that will give you insight to the system that you never had before.   ACTIVE REPORTS:  Have you ever seen your SQL Server performance take a nose dive due to a long-running report?  If the SPID is executing under a generic Report ID, or it is a scheduled job, you may have no way to tell which report is killing your server.  Running this query will show you which reports are executing at a given time, and WHO is executing them.   USE ReportServerNative SELECT runningjobs.computername,             runningjobs.requestname,              runningjobs.startdate,             users.username,             Datediff(s,runningjobs.startdate, Getdate()) / 60 AS    'Active Minutes' FROM runningjobs INNER JOIN users ON runningjobs.userid = users.userid ORDER BY runningjobs.startdate               SSRS CATALOG:  We have all asked “What was the last thing that changed”, or better yet, “Who in the world did that!”.  Here is a query that will show all of the reports in your SSRS catalog, when they were created and changed, and by who.           USE ReportServerNative SELECT DISTINCT catalog.PATH,                            catalog.name,                            users.username AS [Created By],                             catalog.creationdate,                            users_1.username AS [Modified By],                            catalog.modifieddate FROM catalog         INNER JOIN users ON catalog.createdbyid = users.userid  INNER JOIN users AS users_1 ON catalog.modifiedbyid = users_1.userid INNER JOIN executionlogstorage ON catalog.itemid = executionlogstorage.reportid WHERE ( catalog.name <> '' )               SSRS EXECUTION LOG:  Sometimes we need to know what was happening on the SSRS report server at a given time in the past.  This query will help you do just that.  You will need to set the timestart and timeend in the WHERE clause to suit your needs.         USE ReportServerNative SELECT catalog.name AS report,        executionlogstorage.username AS [User],        executionlogstorage.timestart,        executionlogstorage.timeend,         Datediff(mi,e.timestart,e.timeend) AS ‘Time In Minutes',        catalog.modifieddate AS [Report Last Modified],        users.username FROM   catalog  (nolock)        INNER JOIN executionlogstorage e (nolock)          ON catalog.itemid = executionlogstorage.reportid        INNER JOIN users (nolock)          ON catalog.modifiedbyid = users.userid WHERE  executionlogstorage.timestart >= Dateadd(s, -1, '03/31/2012')        AND executionlogstorage.timeend <= Dateadd(DAY, 1, '04/02/2012')      LONG RUNNING REPORTS:  This query will show the longest running reports over a given time period.  Note that the “>5” in the WHERE clause sets the report threshold at 5 minutes, so anything that ran less than 5 minutes will not appear in the result set.  Adjust the threshold and start/end times to your liking.  With this information in hand, you can better optimize your system by tweaking the longest running reports first.         USE ReportServerNative SELECT executionlogstorage.instancename,        catalog.PATH,        catalog.name,        executionlogstorage.username,        executionlogstorage.timestart,        executionlogstorage.timeend,        Datediff(mi, e.timestart, e.timeend) AS 'Minutes',        executionlogstorage.timedataretrieval,        executionlogstorage.timeprocessing,        executionlogstorage.timerendering,        executionlogstorage.[RowCount],        users_1.username        AS createdby,        CONVERT(VARCHAR(10), catalog.creationdate, 101)        AS 'Creation Date',        users.username        AS modifiedby,        CONVERT(VARCHAR(10), catalog.modifieddate, 101)        AS 'Modified Date' FROM   executionlogstorage e         INNER JOIN catalog          ON executionlogstorage.reportid = catalog.itemid        INNER JOIN users          ON catalog.modifiedbyid = users.userid        INNER JOIN users AS users_1          ON catalog.createdbyid = users_1.userid WHERE  ( e.timestart > '03/31/2012' )        AND ( e.timestart <= '04/02/2012' )        AND  Datediff(mi, e.timestart, e.timeend) > 5        AND catalog.name <> '' ORDER  BY 'Minutes' DESC        I have used these queries to build SSRS reports that I can refer to quickly, and export to Excel if I need to report or quantify my findings.  I encourage you to look at the data in the ReportServerNative database on your report server to understand the queries and create some of your own.  For instance, you may want a query to determine which reports are using which shared data sources.  Work smarter, not harder!

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• SQL analytical mash-ups deliver real-time WOW! for big data

  - by KLaker

  One of the overlooked capabilities of SQL as an analysis engine, because we all just take it for granted, is that you can mix and match analytical features to create some amazing mash-ups. As we move into the exciting world of big data these mash-ups can really deliver those "wow, I never knew that" moments. While Java is an incredibly flexible and powerful framework for managing big data there are some significant challenges in using Java and MapReduce to drive your analysis to create these "wow" discoveries. One of these "wow" moments was demonstrated at this year's OpenWorld during Andy Mendelsohn's general keynote session.  Here is the scenario - we are looking for fraudulent activities in our big data stream and in this case we identifying potentially fraudulent activities by looking for specific patterns. We using geospatial tagging of each transaction so we can create a real-time fraud-map for our business users. Where we start to move towards a "wow" moment is to extend this basic use of spatial and pattern matching, as shown in the above dashboard screen, to incorporate spatial analytics within the SQL pattern matching clause. This will allow us to compute the distance between transactions. Apologies for the quality of this screenshot….hopefully below you see where we have extended our SQL pattern matching clause to use location of each transaction and to calculate the distance between each transaction: This allows us to compare the time of the last transaction with the time of the current transaction and see if the distance between the two points is possible given the time frame. Obviously if I buy something in Florida from my favourite bike store (may be a new carbon saddle for my Trek) and then 5 minutes later the system sees my credit card details being used in Arizona there is high probability that this transaction in Arizona is actually fraudulent (I am fast on my Trek but not that fast!) and we can flag this up in real-time on our dashboard: In this post I have used the term "real-time" a couple of times and this is an important point and one of the key reasons why SQL really is the only language to use if you want to analyse  big data. One of the most important questions that comes up in every big data project is: how do we do analysis? Many enlightened customers are now realising that using Java-MapReduce to deliver analysis does not result in "wow" moments. These "wow" moments only come with SQL because it is offers a much richer environment, it is simpler to use and it is faster - which makes it possible to deliver real-time "Wow!". Below is a slide from Andy's session showing the results of a comparison of Java-MapReduce vs. SQL pattern matching to deliver our "wow" moment during our live demo.  You can watch our analytical mash-up "Wow" demo that compares the power of 12c SQL pattern matching + spatial analytics vs. Java-MapReduce  here: You can get more information about SQL Pattern Matching on our SQL Analytics home page on OTN, see here http://www.oracle.com/technetwork/database/bi-datawarehousing/sql-analytics-index-1984365.html.  You can get more information about our spatial analytics here: http://www.oracle.com/technetwork/database-options/spatialandgraph/overview/index.html If you would like to watch the full Database 12c OOW presentation see here: http://medianetwork.oracle.com/video/player/2686974264001

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• T-SQL (SCD) Slowly Changing Dimension Type 2 using a merge statement

  - by AtulThakor

  Working on stored procedure recently which loads records into a data warehouse I found that the existing record was being expired using an update statement followed by an insert to add the new active record. Playing around with the merge statement you can actually expire the current record and insert a new record within one clean statement. This is how the statement works, we do the normal merge statement to insert a record when there is no match, if we match the record we update the existing record by expiring it and deactivating. At the end of the merge statement we use the output statement to output the staging values for the update,  we wrap the whole merge statement within an insert statement and add new rows for the records which we inserted. I’ve added the full script at the bottom so you can paste it and play around.   1: INSERT INTO ExampleFactUpdate 2: (PolicyID, 3: Status) 4: SELECT -- these columns are returned from the output statement 5: PolicyID, 6: Status 7: FROM 8: ( 9: -- merge statement on unique id in this case Policy_ID 10: MERGE dbo.ExampleFactUpdate dp 11: USING dbo.ExampleStag s 12: ON dp.PolicyID = s.PolicyID 13: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 14: INSERT (PolicyID,Status) 15: VALUES (s.PolicyID, s.Status) 16: WHEN MATCHED --if it already exists 17: AND ExpiryDate IS NULL -- and the Expiry Date is null 18: THEN 19: UPDATE 20: SET 21: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 22: dp.Active = 0 -- and deactivate the existing record 23: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 24: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 25: WHERE -- we'll filter using a where clause 26: MergeAction = 'Update'; -- here   Complete source for example 1: if OBJECT_ID('ExampleFactUpdate') > 0 2: drop table ExampleFactUpdate 3:  4: Create Table ExampleFactUpdate( 5: ID int identity(1,1), 3: go 6: PolicyID varchar(100), 7: Status varchar(100), 8: EffectiveDate datetime default getdate(), 9: ExpiryDate datetime, 10: Active bit default 1 11: ) 12:  13:  14: insert into ExampleFactUpdate( 15: PolicyID, 16: Status) 17: select 18: 1, 19: 'Live' 20:  21: /*Create Staging Table*/ 22: if OBJECT_ID('ExampleStag') > 0 23: drop table ExampleStag 24: go 25:  26: /*Create example fact table */ 27: Create Table ExampleStag( 28: PolicyID varchar(100), 29: Status varchar(100)) 30:  31: --add some data 32: insert into ExampleStag( 33: PolicyID, 34: Status) 35: select 36: 1, 37: 'Lapsed' 38: union all 39: select 40: 2, 41: 'Quote' 42:  43: select * 44: from ExampleFactUpdate 45:  46: select * 47: from ExampleStag 48:  49:  50: INSERT INTO ExampleFactUpdate 51: (PolicyID, 52: Status) 53: SELECT -- these columns are returned from the output statement 54: PolicyID, 55: Status 56: FROM 57: ( 58: -- merge statement on unique id in this case Policy_ID 59: MERGE dbo.ExampleFactUpdate dp 60: USING dbo.ExampleStag s 61: ON dp.PolicyID = s.PolicyID 62: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 63: INSERT (PolicyID,Status) 64: VALUES (s.PolicyID, s.Status) 65: WHEN MATCHED --if it already exists 66: AND ExpiryDate IS NULL -- and the Expiry Date is null 67: THEN 68: UPDATE 69: SET 70: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 71: dp.Active = 0 -- and deactivate the existing record 72: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 73: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 74: WHERE -- we'll filter using a where clause 75: MergeAction = 'Update'; -- here 76:  77:  78: select * 79: from ExampleFactUpdate 80: 

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• I assume Row_Number doesn’t act only on rows of the window frame

  - by AspOnMyNet

  a) Quote is taken from http://www.postgresql.org/docs/current/static/tutorial-window.html for each row, there is a set of rows within its partition called its window frame. Many (but not all) window functions act only on the rows of the window frame, rather than of the whole partition. By default, if ORDER BY is supplied then the frame consists of all rows from the start of the partition up through the current row, plus any following rows that are equal to the current row according to the ORDER BY clause I assume Row_Number doesn’t act only on rows of the window frame, but instead always act on all rows of a partition? b) By default, if ORDER BY is supplied then the frame consists of all rows from the start of the partition up through the current row, plus any following rows that are equal to the current row according to the ORDER BY clause I assume that is only true for those window functions that act only on rows of the window frame ( thus above quote isn't true for ROW_NUMBER() function )? c) http://www.postgresql.org/docs/current/static/tutorial-window.html talks about PostgreSQL 8.4’s Windowing functions. Is everything in that article also true for Sql Server 2008’s Windowing functions thanx

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