Calculating timespan with t-sql
- by jdiaz
Given two date/times:
@start_date = '2009-04-15 10:24:00.000'
@end_date = '2009-04-16 19:43:01.000'
Is it possible to calculate the time elapsed between the two dates in the following format
1d 9h 19m
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Selecting multiple fields into multiple variables in a MySQL stored procedure
- by Stuart
I am a little new to store procedures in MySQL and was wondering if I can SELECT multiple columns into multiple variables within the same select query. for example (iName is the input to the function): DECLARE iId INT(20); DECLARE dCreate DATETIME; SELECT Id INTO iId, dateCreated INTO dCreate FROM products WHERE pName=iName; ThanksRead the article
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sql query for 3 tables
- by greffe
i have 3 tables (A,B,C) Table A - ID Name 1 Sam 2 Manuel 3 Jane Table B ID Tab_A_ID Name 1 1 Meer 2 1 Kutti 3 2 Mikaro Table C ID Tab_B_ID Price 1 1 255.11 2 1 30.52 3 3 125.22 I need a query that shall pick up the top price for TableA-Name from TableC. So only 1 top price for 1 nae record. e.g.- Sam - 255.11 Manuel - 125.22 How can i get this?Read the article
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Get non-overlapping dates ranges for prices history data
- by Anonymouse
Hello, Let's assume that I have the following table: CREATE TABLE [dbo].[PricesHist]( [Product] varchar NOT NULL, [Price] [float] NOT NULL, [StartDate] [datetime] NOT NULL, [EndDate] [datetime] NOT NULL ) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D2C00000000 AS DateTime), CAST(0x00009D2C00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D2D00000000 AS DateTime), CAST(0x00009D2D00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 2.5, CAST(0x00009D2E00000000 AS DateTime), CAST(0x00009D2E00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3000000000 AS DateTime), CAST(0x00009D3000000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3100000000 AS DateTime), CAST(0x00009D3100000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3400000000 AS DateTime), CAST(0x00009D3400000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 2.5, CAST(0x00009D3500000000 AS DateTime), CAST(0x00009D3500000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3600000000 AS DateTime), CAST(0x00009D3600000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3700000000 AS DateTime), CAST(0x00009D3700000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3800000000 AS DateTime), CAST(0x00009D3800000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3A00000000 AS DateTime), CAST(0x00009D3A00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3B00000000 AS DateTime), CAST(0x00009D3B00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 2.5, CAST(0x00009D3C00000000 AS DateTime), CAST(0x00009D3C00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3D00000000 AS DateTime), CAST(0x00009D3D00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3E00000000 AS DateTime), CAST(0x00009D3E00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D3F00000000 AS DateTime), CAST(0x00009D3F00000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4100000000 AS DateTime), CAST(0x00009D4100000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4200000000 AS DateTime), CAST(0x00009D4200000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 2.5, CAST(0x00009D4300000000 AS DateTime), CAST(0x00009D4300000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4400000000 AS DateTime), CAST(0x00009D4400000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4500000000 AS DateTime), CAST(0x00009D4500000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4600000000 AS DateTime), CAST(0x00009D4600000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 4.9, CAST(0x00009D4800000000 AS DateTime), CAST(0x00009D4800000000 AS DateTime)) INSERT [dbo].[PricesHist] ([Product], [Price], [StartDate], [EndDate]) VALUES (N'Apples', 2.5, CAST(0x00009D4A00000000 AS DateTime), CAST(0x00009D4A00000000 AS DateTime)) As you can see, there are two prices on that month for Apples. 4.90 and 2.50. In order to tidy this table up, I need to get this information as a date range rather than a row per day as it currently is. I can obviously do this with Min and Max aggregates easily but the ranges overlap and other business code expect non-overlapping ranges. I also tried to achieve this with self joins and row_number(), but without much success... Here is what I'm trying to achieve as the output: Product | StartDate | EndDate | Price ------------------------------------------- Apples | 01 Mar 2010 | 02 Mar 2010 | 4.90 Apples | 03 Mar 2010 | 03 Mar 2010 | 2.50 Apples | 05 Mar 2010 | 09 Mar 2010 | 4.90 Apples | 10 Mar 2010 | 10 Mar 2010 | 2.50 Apples | 11 Mar 2010 | 16 Mar 2010 | 4.90 Apples | 17 Mar 2010 | 17 Mar 2010 | 2.50 Apples | 18 Mar 2010 | 23 Mar 2010 | 4.90 Apples | 24 Mar 2010 | 24 Mar 2010 | 2.50 Apples | 25 Mar 2010 | 30 Mar 2010 | 4.90 Apples | 31 Mar 2010 | 31 Mar 2010 | 2.50 What would please be the best approach to get this done? Thanks a lot in advance,Read the article
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Oracle sql: using bind variable for dates..
- by user333747
Here is a simple working query without bind variables: select * from table1 where time_stamp sysdate - INTERVAL '1' day; where time_stamp is of type DATE. I should be able to input any number of days in the above query using bind variable. So I tried the following and does not seem to work: select * from table1 where time_stamp sysdate - INTERVAL :days day; I tried entering the numeric input both as 10 and '10',for eg. You get ORA-00933 error on 10g.Read the article
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Not your usual "The multi-part identifier could not be bound" error
- by Eugene Niemand
I have the following query, now the strange thing is if I run this query on my development and pre-prod server it runs fine. If I run it on production it fails. I have figured out that if I run just the Select statement its happy but as soon as I try insert into the table variable it complains. DECLARE @RESULTS TABLE ( [Parent] VARCHAR(255) ,[client] VARCHAR(255) ,[ComponentName] VARCHAR(255) ,[DealName] VARCHAR(255) ,[Purchase Date] DATETIME ,[Start Date] DATETIME ,[End Date] DATETIME ,[Value] INT ,[Currency] VARCHAR(255) ,[Brand] VARCHAR(255) ,[Business Unit] VARCHAR(255) ,[Region] VARCHAR(255) ,[DealID] INT ) INSERT INTO @RESULTS SELECT DISTINCT ClientName 'Parent' ,F.ClientID 'client' ,ComponentName ,A.DealName ,CONVERT(SMALLDATETIME , ISNULL(PurchaseDate , '1900-01-01')) 'Purchase Date' ,CONVERT(SMALLDATETIME , ISNULL(StartDate , '1900-01-01')) 'Start Date' ,CONVERT(SMALLDATETIME , ISNULL(EndDate , '1900-01-01')) 'End Date' ,DealValue 'Value' ,D.Currency 'Currency' ,ShortBrand 'Brand' ,G.BU 'Business Unit' ,C.DMRegion 'Region' ,DealID FROM LTCDB_admin_tbl_Deals A INNER JOIN dbo_DM_Brand B ON A.BrandID = B.ID INNER JOIN LTCDB_admin_tbl_DM_Region C ON A.Region = C.ID INNER JOIN LTCDB_admin_tbl_Currency D ON A.Currency = D.ID INNER JOIN LTCDB_admin_tbl_Deal_Clients E ON A.DealID = E.Deal_ID INNER JOIN LTCDB_admin_tbl_Clients F ON E.Client_ID = F.ClientID INNER JOIN LTCDB_admin_tbl_DM_BU G ON G.ID = A.BU INNER JOIN LTCDB_admin_tbl_Deal_Components H ON A.DealID = H.Deal_ID INNER JOIN LTCDB_admin_tbl_Components I ON I.ComponentID = H.Component_ID WHERE EndDate != '1899-12-30T00:00:00.000' AND StartDate < EndDate AND B.ID IN ( 1 , 2 , 5 , 6 , 7 , 8 , 10 , 12 ) AND C.SalesRegionID IN ( 1 , 3 , 4 , 11 , 16 ) AND A.BU IN ( 1 , 2 , 3 , 4 , 5 , 6 , 8 , 9 , 11 , 12 , 15 , 16 , 19 , 20 , 22 , 23 , 24 , 26 , 28 , 30 ) AND ClientID = 16128 SELECT ... FROM @Results I get the following error Msg 8180, Level 16, State 1, Line 1 Statement(s) could not be prepared. Msg 4104, Level 16, State 1, Line 1 The multi-part identifier "Tbl1021.ComponentName" could not be bound. Msg 4104, Level 16, State 1, Line 1 The multi-part identifier "Tbl1011.Currency" could not be bound. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2454'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2461'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2491'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2490'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2482'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2478'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2477'. Msg 207, Level 16, State 1, Line 1 Invalid column name 'Col2475'. EDIT - EDIT - EDIT - EDIT - EDIT - EDIT through a process of elimination I have found that following and wondered if anyone can shed some light on this. If I remove only the DISTINCT the query runs fine, add the DISTINCT and I get strange errors. Also I have found that if I comment the following lines then the query runs with the DISTINCT what is strange is that none of the columns in the table LTCDB_admin_tbl_Deal_Components is referenced so I don't see how the distinct will affect that. INNER JOIN LTCDB_admin_tbl_Deal_Components H ON A.DealID = H.Deal_IDRead the article
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How to make a Custom Data Generator for SQL XML DataType.
- by Keith Sirmons
Howdy, I am using Visual Studio 2010 and am playing around with the Database Projects. I am creating a DataGenerationPlan to insert data into a simple table, in which one of the column datatypes is XML. Out of the box, the generation plan uses the Regular Expression generator and generates something like this : HGcSv9wa7yM44T9x5oFT4pmBkEmv62lJ7OyAmCnL6yqXC2X.......... I am looking at creating a custom data Generator for this data type and have followed this site for the basics: http://msdn.microsoft.com/en-us/library/aa833244.aspx This example works if I am creating a string datatype and using it for a nvarchar datatype. What do I need to change to hook this Generator to the XML Datatype? Below are my code files. The string property works for nvarchar. The XElement property does not work for the xml datatype, and the RecordXMLDataGenerator is not listed as an option in the Generator column for the generation plan. CustomDataGenerators: using System; using System.Collections.Generic; using System.Linq; using System.Text; using Microsoft.Data.Schema.Tools.DataGenerator; using Microsoft.Data.Schema.Extensibility; using Microsoft.Data.Schema; using Microsoft.Data.Schema.Sql; using System.Xml.Linq; namespace CustomDataGenerators { [DatabaseSchemaProviderCompatibility(typeof(SqlDatabaseSchemaProvider))] public class RecordXMLDataGenerator : Generator { private XElement _RecordData; [Output(Description = "Generates string of XML Data for the Record.", Name = "RecordDataString")] public string RecordDataString { get { return _RecordData.ToString(SaveOptions.None); } } [Output(Description = "Generates XML Data for the Record.", Name = "RecordData")] public XElement RecordData { get { return _RecordData; } } protected override void OnGenerateNextValues() { base.OnGenerateNextValues(); XElement element = new XElement("Root", new XElement("Children1", 1), new XElement("Children6", 6) ); _RecordData = element; } } } XML Extensions File: <?xml version="1.0" encoding="utf-8" ?> <extensions assembly="" version="1" xmlns="urn:Microsoft.Data.Schema.Extensions" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="urn:Microsoft.Data.Schema.Extensions Microsoft.Data.Schema.Extensions.xsd"> <extension type="CustomDataGenerators.RecordXMLDataGenerator" assembly="CustomDataGenerators, Version=1.0.0.0, Culture=neutral, PublicKeyToken=xxxxxxxxxxxx" enabled="true"/> </extensions> Table.sql: CREATE TABLE [dbo].[Record] ( id int IDENTITY (1,1) NOT NULL, recordData xml NULL, userId int NULL, test nvarchar(max) NULL, rowver rowversion NULL, CONSTRAINT pk_RecordID PRIMARY KEY (id) )Read the article
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Searching Week-wise/Month-wise record counts(number) and the StartDate+EndDate(datetime) of the Week
- by Muzaffar Ali Rana
I have a question in connection to this question earlier posted by me:- http://stackoverflow.com/questions/2452984/daily-weekly-monthly-record-count-search-via-storedprocedure I want to have the Count of Calls on Weekly-basis and Monthly-basis, Daily-basis issue is resolved. ISSUE NUMBER @1:Weekly-basis Count of Calls and Start-Date and End-Date of Week I have searched the Start-Date and End-Date of Week including their individual Count of Calls as well in the below-mentioned query. But the problem is that I could not get the result in one single table, although I have used the Temporary Tables(#TempTable+#TempTable2). Kindly help me in this regards. NOTE:Table Creation commented as for executing more than once. ----- *** TABLE CREATION OF #TempTable & #TempTable2 *** ---------- --CREATE TABLE #TempTable( StartDate datetime,EndDate datetime,CallCount numeric(18,5)) --CREATE TABLE #TempTable2( StartDate datetime,EndDate datetime,CallCount numeric(18,5)) DECLARE @StartDate datetime,@EndDate datetime,@StartDateTemp1 datetime,@StartDateTemp2 datetime,@EndDateTemp datetime,@Period varchar(50); SET @StartDate='1/1/2010'; SET @EndDate='2/28/2010'; SET @StartDateTemp1=@StartDate; SET @StartDateTemp2=DATEADD(dd, 7, @StartDate ); SET @Period='Weekly'; IF (@Period = 'Weekly') BEGIN WHILE ((@StartDate <= @StartDateTemp1) AND (@StartDateTemp2 <= @EndDate)) BEGIN IF((@StartDateTemp1 < @StartDateTemp2 ) AND (@StartDateTemp1 != @StartDateTemp2) ) BEGIN SELECT convert(varchar, @StartDateTemp1, 106) AS 'Start Date', convert(varchar, @StartDateTemp2, 106) AS 'End Date', COUNT(*) AS 'Call Count' FROM TRN_Call WHERE (CallTime = @StartDateTemp1 AND CallTime <= @StartDateTemp2 ); END SET @StartDateTemp1 = DATEADD(dd, 7, @StartDateTemp1); SET @StartDateTemp2 = DATEADD(dd, 7, @StartDateTemp2); END END ISSUE NUMBER @2:Monthly-basis Count of Calls and Start-Date and End-Date of Week In this case, I have the same search, but will have to search the Call Counts plus the Start-Date and End-Date of the Month. Kindly help me in this regards as well.Read the article
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Multi-statement Table Valued Function vs Inline Table Valued Function
- by AndyC
ie: CREATE FUNCTION MyNS.GetUnshippedOrders() RETURNS TABLE AS RETURN SELECT a.SaleId, a.CustomerID, b.Qty FROM Sales.Sales a INNER JOIN Sales.SaleDetail b ON a.SaleId = b.SaleId INNER JOIN Production.Product c ON b.ProductID = c.ProductID WHERE a.ShipDate IS NULL GO versus: CREATE FUNCTION MyNS.GetLastShipped(@CustomerID INT) RETURNS @CustomerOrder TABLE (SaleOrderID INT NOT NULL, CustomerID INT NOT NULL, OrderDate DATETIME NOT NULL, OrderQty INT NOT NULL) AS BEGIN DECLARE @MaxDate DATETIME SELECT @MaxDate = MAX(OrderDate) FROM Sales.SalesOrderHeader WHERE CustomerID = @CustomerID INSERT @CustomerOrder SELECT a.SalesOrderID, a.CustomerID, a.OrderDate, b.OrderQty FROM Sales.SalesOrderHeader a INNER JOIN Sales.SalesOrderHeader b ON a.SalesOrderID = b.SalesOrderID INNER JOIN Production.Product c ON b.ProductID = c.ProductID WHERE a.OrderDate = @MaxDate AND a.CustomerID = @CustomerID RETURN END GO Is there an advantage to using one over the other? Is there certain scenarios when one is better than the other or are the differences purely syntactical? I realise the 2 example queries are doing different things but is there a reason I would write them in that way? Reading about them and the advantages/differences haven't really been explained. ThanksRead the article
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Interesting SQL Sorting Issue
- by rofly
It's crunch time, deadline for my most recent contract is coming in two days and almost everything is complete and working fine (knock on wood) except for one issue. In one of my stored procedures, I'm needing to return a result set as follows. group_id | name A101 | Craig A102 | Craig Z101 | Craig Z102 | Craig A101 | Jim A102 | Jim Z101 | Jim Z102 | Jim B101 | Andy B102 | Andy Z101 | Andy Z102 | Andy The names need to be sorted by the first character of the group id and also include the Z101/Z102 entries. By sorting strictly by the group id, I get a result set as follows: A101 | Craig A102 | Craig A101 | Jim A102 | Jim B101 | Andy B102 | Andy Z101 | Andy Z102 | Andy Z101 | Jim Z102 | Jim I really can't think of a solution that doesn't involve me making a cursor and bloating the stored procedure up more than it already is. I'm sure a great mind out there has an elegant solution and I'm eager to see what the community can come up with. Thanks a ton in advance.Read the article
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Help using left outer joins in SQL...
- by Waffles
I'm trying to create a list of people, their friends, and their friends of friends. My table of people is this: People: NAME Jow Smith Sandy Phil Friends LIKER LIKEE jow smith smith jow sandy phil Now, what I want is a table like this: User Friend FriendofFriend Jow smith jow Smith jow smith sandy phil phil I'm trying to create a table using the following: SELECT P.NAME, F.LIKEE, F2.LIKEE FROM PEOPLE P LEFT OUTER JOIN FRIENDS F ON P.NAME = F.LIKER LEFT OUTER JOIN FRIENDS F2 ON F.LIKEE = F2.LIKER But the above isn't working. How can I get a table of people and their friends, regardless of whether or not they actually HAVE any friends?Read the article
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SQL Stored Procedure: Business Hours
- by Jacob
How can I create a stored procedure that accepts a start and end date.(e.g April 1 - April 30 1.) Get the business days including Saturdays x (a value). Plus 2.) Get Holidays x (a value) and return the total. I'm new to this, I guess it would be a tsql function. hmm. any help would be appreciated. ThanksRead the article
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sp_send_dbmail - MS SQL 2008
- by Nev_Rahd
sp_send_dbmail works fine on one server as below: EXEC msdb.dbo.sp_send_dbmail @profile_name = 'xxxx Mail Profile', @recipients = 'xxx.com', @body = 'xxxxxxxx', @subject = 'xxx - Please do not reply to this email'; But on other server where got same Mail profile setup throws an error saying it excepts value for parameters @copy_recipients, @blind_copy_recipients (though these are optional) Where do I need to check ? any help please ThanksRead the article
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Core Data - JSON (TouchJSON) on iPhone
- by Urizen
I have the following code which seems to go on indefinitely until the app crashes. It seems to happen with the recursion in the datastructureFromManagedObject method. I suspect that this method: 1) looks at the first managed object and follows any relationship property recursively. 2) examines the object at the other end of the relationship found at point 1 and repeats the process. Is it possible that if managed object A has a to-many relationship with object B and that relationship is two-way (i.e an inverse to-one relationship to A from B - e.g. one department has many employees but each employee has only one department) that the following code gets stuck in infinite recursion as it follows the to-one relationship from object B back to object A and so on. If so, can anyone provide a fix for this so that I can get my whole object graph of managed objects converted to JSON. #import "JSONUtils.h" @implementation JSONUtils - (NSDictionary*)dataStructureFromManagedObject:(NSManagedObject *)managedObject { NSDictionary *attributesByName = [[managedObject entity] attributesByName]; NSDictionary *relationshipsByName = [[managedObject entity] relationshipsByName]; //getting the values correspoinding to the attributes collected in attributesByName NSMutableDictionary *valuesDictionary = [[managedObject dictionaryWithValuesForKeys:[attributesByName allKeys]] mutableCopy]; //sets the name for the entity being encoded to JSON [valuesDictionary setObject:[[managedObject entity] name] forKey:@"ManagedObjectName"]; NSLog(@"+++++++++++++++++> before the for loop"); //looks at each relationship for the given managed object for (NSString *relationshipName in [relationshipsByName allKeys]) { NSLog(@"The relationship name = %@",relationshipName); NSRelationshipDescription *description = [relationshipsByName objectForKey:relationshipName]; if (![description isToMany]) { NSLog(@"The relationship is NOT TO MANY!"); [valuesDictionary setObject:[self dataStructureFromManagedObject:[managedObject valueForKey:relationshipName]] forKey:relationshipName]; continue; } NSSet *relationshipObjects = [managedObject valueForKey:relationshipName]; NSMutableArray *relationshipArray = [[NSMutableArray alloc] init]; for (NSManagedObject *relationshipObject in relationshipObjects) { [relationshipArray addObject:[self dataStructureFromManagedObject:relationshipObject]]; } [valuesDictionary setObject:relationshipArray forKey:relationshipName]; } return [valuesDictionary autorelease]; } - (NSArray*)dataStructuresFromManagedObjects:(NSArray*)managedObjects { NSMutableArray *dataArray = [[NSArray alloc] init]; for (NSManagedObject *managedObject in managedObjects) { [dataArray addObject:[self dataStructureFromManagedObject:managedObject]]; } return [dataArray autorelease]; } //method to call for obtaining JSON structure - i.e. public interface to this class - (NSString*)jsonStructureFromManagedObjects:(NSArray*)managedObjects { NSLog(@"-------------> just before running the recursive method"); NSArray *objectsArray = [self dataStructuresFromManagedObjects:managedObjects]; NSLog(@"-------------> just before running the serialiser"); NSString *jsonString = [[CJSONSerializer serializer] serializeArray:objectsArray]; return jsonString; } - (NSManagedObject*)managedObjectFromStructure:(NSDictionary*)structureDictionary withManagedObjectContext:(NSManagedObjectContext*)moc { NSString *objectName = [structureDictionary objectForKey:@"ManagedObjectName"]; NSManagedObject *managedObject = [NSEntityDescription insertNewObjectForEntityForName:objectName inManagedObjectContext:moc]; [managedObject setValuesForKeysWithDictionary:structureDictionary]; for (NSString *relationshipName in [[[managedObject entity] relationshipsByName] allKeys]) { NSRelationshipDescription *description = [[[managedObject entity]relationshipsByName] objectForKey:relationshipName]; if (![description isToMany]) { NSDictionary *childStructureDictionary = [structureDictionary objectForKey:relationshipName]; NSManagedObject *childObject = [self managedObjectFromStructure:childStructureDictionary withManagedObjectContext:moc]; [managedObject setValue:childObject forKey:relationshipName]; continue; } NSMutableSet *relationshipSet = [managedObject mutableSetValueForKey:relationshipName]; NSArray *relationshipArray = [structureDictionary objectForKey:relationshipName]; for (NSDictionary *childStructureDictionary in relationshipArray) { NSManagedObject *childObject = [self managedObjectFromStructure:childStructureDictionary withManagedObjectContext:moc]; [relationshipSet addObject:childObject]; } } return managedObject; } //method to call for obtaining managed objects from JSON structure - i.e. public interface to this class - (NSArray*)managedObjectsFromJSONStructure:(NSString *)json withManagedObjectContext:(NSManagedObjectContext*)moc { NSError *error = nil; NSArray *structureArray = [[CJSONDeserializer deserializer] deserializeAsArray:[json dataUsingEncoding:NSUTF32BigEndianStringEncoding] error:&error]; NSAssert2(error == nil, @"Failed to deserialize\n%@\n%@", [error localizedDescription], json); NSMutableArray *objectArray = [[NSMutableArray alloc] init]; for (NSDictionary *structureDictionary in structureArray) { [objectArray addObject:[self managedObjectFromStructure:structureDictionary withManagedObjectContext:moc]]; } return [objectArray autorelease]; } @endRead the article
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How to Transform a user's search string into a MS SQL Full-Text Search Phrase
- by Atomiton
I've search for answers for this and I can't seem to find an answer to what should be somewhat simple. This is related to another question I asked, but it's different. What's the best way to take a user's search phrase and throw it into a CONTAINSTABLE(table, column, @phrase, topN ) phrase? Say, for example the user inputs: Books by "Dr. Seuss" What's the best way to turn that into something that will return results in my ContainsTAble() phrase? I was previously parsing the search phrase and writing something like ISABOUT("Books" WEIGHT(1.0), "by" WEIGHT(0.9), "Dr. Seuss" WEIGHT(0.8)) as my @phrase but ISABOUT seems to be returning odd results... especially when one word searches are entered. Any Ideas?Read the article
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What is syncobj in SQL Server
- by hgulyan
Hi. I run this script to search particular text in sys.columns and I get a lot of "dbo.syncobj_0x3934443438443332" this kind of result. SELECT c.name, s.name + '.' + o.name FROM sys.columns c INNER JOIN sys.objects o ON c.object_id=o.object_id INNER JOIN sys.schemas s ON o.schema_id=s.schema_id WHERE c.name LIKE '%text%' If I get it right, they are replication objects. Is it so? Can i just throw them away from my query just like o.name NOT LIKE '%syncobj%' or there's another way? Thank you.Read the article
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HTML text input and using the input as a variable in a script(tcl)/sql(sqlite)
- by Fantastic Fourier
Hello all, I'm very VERY new at this whole web thing. And I'm just very confused in general. Basically, what I want to do is take an input via text using HTML and adding that input to database, table trans. Should be simple but I am lost. <li>Transaction Number</li> <li><input type=|text| name=|tnumber| </li> // do i need to use value? <li>Employee Name</li> <li><input type=|text| name=|ename| </li> <li><input type=|SUBMIT| value=|Add|></li> ...... ...... sqlite3 db $::env(ROOT)/database.db mb eval {INSERT INTO trans VALUES ($tnumber, $ename} mb close They are both in a same file and there are only two fields to the database to keep things simple. What I can see here is that tnumber and ename aren't declared as variables. So how do I do that so that the text input is assigned to respective variables?Read the article
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Filter rows on the basis of "First Name" + "Last Name" in SQL
- by Raghav Khunger
Hi, I have a user table in my database which contains two columns FirstName and LastName. Now in my front end there is a textbox to filter out the users from this table. Let's suppose I am taking that input from the front end in the form of a input parameter "@SEARCHKEYWORD". I have created a sample below: DECLARE @Test TABLE ([ID] INT IDENTITY, [FNAME] NVARCHAR(100), [LNAME] NVARCHAR(100) ) INSERT INTO @Test( FNAME, LNAME ) SELECT 'John','Resig' UNION ALL SELECT 'Dave','Ward' UNION ALL SELECT 'Peter','Smith' UNION ALL SELECT 'Dave','Smith' UNION ALL SELECT 'Girija','Acharya' UNION ALL SELECT 'Devendra', 'Gujel' UNION ALL SELECT 'Arjit', 'Gupta' DECLARE @SEARCHKEYWORD NVARCHAR(100) SELECT * FROM @Test WHERE FNAME +' '+ LNAME LIKE @SEARCHKEYWORD i.e. so far I have thought of this query to filter out the rows but it is not giving the desired results: SELECT * FROM @Test WHERE FNAME +' '+ LNAME LIKE @SEARCHKEYWORD Here are the desired outputs which I needed for the inputs mentioned below: --WHEN @SEARCHKEYWORD='John Resig' --Desired OUTPUT: the row which contains 'John','Resig' --WHEN @SEARCHKEYWORD='Ac' --Desired OUTPUT: the row which contains 'Girija','Acharya' --WHEN @SEARCHKEYWORD='Smith' --Desired OUTPUT: the row which contains 'Peter','Smith' and 'Dave','Smith' --WHEN @SEARCHKEYWORD='g' --Desired OUTPUT: the row which contains 'Devendra', 'Gujel' and 'Arjit', 'Gupta' --WHEN @SEARCHKEYWORD='Smith' --Desired OUTPUT: the row which contains 'Peter','Smith' and 'Dave','Smith'Read the article
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One to many too much data returned - MySQL
- by Evan McPeters
I have 2 related MySQL tables in a one to many relationship. Customers: cust_id, cust_name, cust_notes Orders: order_id, cust_id, order_comments So, if I do a standard join to get all customers and their orders via PHP, I return something like: Jack Black, jack's notes, comments about jack's 1st order Jack Black, jack's notes, comments about jack's 2nd order Simon Smith, simon's notes, comments about simon's 1st order Simon Smith, simon's notes, comments about simon's 2nd order The problem is that *cust_notes* is a text field and can be quite large (a couple of thousand words). So, it seems like returning that field for every order is inneficient. I could use *GROUP_CONCAT* and JOINS to return all *order_comments* on a single row BUT order_comments is a large text field too, so it seems like that could create a problem. Should I just use two separate queries, one for the customers table and one for the orders table? Is there a better way?Read the article
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Row concat from this query
- by Álvaro G. Vicario
I have this query: SELECT DISTINCT IM.EDIFICIOS_ID, TI.TITULAR FROM IMPORTACION IM INNER JOIN I_EDIFICIO IE ON IM.IMPORTACION_ID=IE.IMPORTACION_ID INNER JOIN I_EDIFICIO_TITULAR ET ON IM.IMPORTACION_ID=ET.IMPORTACION_ID AND IE.EDIFICIO_ID=ET.EDIFICIO_ID INNER JOIN I_TITULAR TI ON IM.IMPORTACION_ID=TI.IMPORTACION_ID AND ET.TITULAR_ID=TI.TITULAR_ID WHERE TI.TITULAR IS NOT NULL AND TI.TITULAR<>'' ORDER BY IM.EDIFICIOS_ID, TI.TITULAR; that returns this result set: EDIFICIOS_ID TITULAR ------------ ------------------ 1911 Ana María García 1911 Anselmo Piedrahita 1911 Manuel López 2594 Carlos Pérez 2594 Felisa García 6865 Carlos Pérez 6865 Felisa García 8428 Carlos Pérez I want to concatenate the values from TITULAR for each EDIFICIOS_ID, so I get this: EDIFICIOS_ID TITULAR ------------ ------------------ 1911 Ana María García; Anselmo Piedrahita; Manuel López 2594 Carlos Pérez; Felisa García 6865 Carlos Pérez; Felisa García 8428 Carlos Pérez I'm trying to use the FOR XML PATH trick. I've used it in the past but, since I can't really understand how it works, I can't figure out how to apply it to this specific case. Can you provide me with some ideas?Read the article
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SQL Server database with clustered GUID PKs - switch clustered index or switch to sequential (comb)
- by Eyvind
We have a database in which all the PKs are GUIDs, and most of the PKs are also the clustered index for the table. We know that this is bad (due to the random nature of GUIDs). So, it seems there are basically two options here (short of throwing out GUIDs as PKs altogether, which we cannot do (at least not at this time)). We could change the GUID generation algorithm to e.g. the one that NHibernate uses, as detailed in this post, or we could, for the tables that are under the heaviest use, change to a different clustered index, e.g. an IDENTITY column, and keep the "random" GUIDs as PKs. Is it possible to give any general recommendations in such a scenario? The application in question has 500+ tables, the largest one presently at about 1,5 million rows, a few tables around 500 000 rows, and the rest significantly lower (most of them well below 10K). Furthermore, the application is installed at several customer sites already, so we have to take any possible negative effects for existing customer into consideration. Thanks!Read the article
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SQL Oracle LEFT JOIN and SUBQUERY error: ORA-00905: missing keyword
- by Curro
Hello everyone. Asking for your help on this Oracle query. It's giving me the error 2 "ORA-00905: missing keyword". It was working fine before I added the LEFT JOIN statement. Obviously it won't deliver the information as we need it without the LEFT JOIN statement. Please provide any help to know which keyword is missing in this query Thanks a lot!: DB Tables: DW.TICKETS DW.TICKET_ACTLOG Subquery table: TABLE_RESOLVERS SELECT TO_CHAR(DW.TICKETS.RESOLVED_TIMESTAMP,'YYYY-MM-DD HH24:MI:SS') AS RESOLVED_DATE, DW.TICKETS.SUBJECT, DW.TICKETS.OWNER_CORE_ID, DW.TICKETS.TICKET_NUMBER, TABLE_RESOLVERS.SUBMITTER AS RESOLVER_CORE_ID FROM DW.TICKETS LEFT JOIN (SELECT TICKET_NUMBER, SUBMITTER FROM DW.TICKET_ACTLOG WHERE TYPE = 'Final Resolution' AND (SUBMITTER = 'B02666' OR SUBMITTER = 'R66604') ORDER BY CREATE_TIMESTAMP DESC ) AS TABLE_RESOLVERS ON DW.TICKETS.TICKET_NUMBER = TABLE_RESOLVERS.TICKET_NUMBER WHERE DW.TICKETS.RESOLVED_TIMESTAMP >= to_date('05-03-2010','dd-mm-yyyy') AND DW.TICKETS.RESOLVED_TIMESTAMP < to_date('8-03-2010','dd-mm-yyyy') AND DW.TICKETS.TICKET_NUMBER LIKE 'TCK%' AND DW.TICKETS.TICKET_NUMBER IN (SELECT TICKET_NUMBER FROM DW.TICKET_ACTLOG WHERE (SUBMITTER = 'B02666' OR SUBMITTER = 'R66604') ) ORDER BY DW.TICKETS.CREATE_TIMESTAMP ASCRead the article
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Group by SQL with count
- by snorlaks
Lets say we have got rows like that: MyTable ID Name Product 1 Adam x 2 Adam y 3 Adam z 4 Peter a 5 Peter b Using query like: Select Name, Count(Product) from MyTable group by Name results will be: Adam 3 Peter 2 But I would like results like: 1 Adam x 3 2 Adam y 3 3 Adam z 3 4 Peter a 2 5 Peter b 2 I hope Ypu know what I mean Could You help me with that query, thanks for help, ByeRead the article
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SQL Server giving a weird conversion error
- by codingguy3000
Hello Everyone I'm stuck and any help you can give me is greatly appreciated. create table stackoverflow_rules(myguid uniqueidentifier primary key, myvarchar50 varchar(50)) insert into stackoverflow_rules(myguid, myvarchar50) values('27C4CF31-2C4C-4C78-BBDC-2D0FDAA891CF','9985276') insert into stackoverflow_rules(myguid, myvarchar50) values('6F865BBD-1D79-4931-BCFE-71AD7A14B145','9985275') insert into stackoverflow_rules(myguid, myvarchar50) values('C91124D9-CE83-44C6-A979-427858BBCDCE','9985274') insert into stackoverflow_rules(myguid, myvarchar50) values('18D89F3C-D15D-4A27-9695-CE4417A9D752','9985273') insert into stackoverflow_rules(myguid, myvarchar50) values('40C9A127-D50D-440C-A6BF-A3C292B56121','9985272') insert into stackoverflow_rules(myguid, myvarchar50) values('3191CE74-6443-4DF0-ABFB-4083150E27A7','9985271') insert into stackoverflow_rules(myguid, myvarchar50) values('489606B3-8EE8-4308-BD3B-660FEC999B84','9985270') insert into stackoverflow_rules(myguid, myvarchar50) values('7FB986D6-7ACF-4453-B124-E688514D3A84','9985269') insert into stackoverflow_rules(myguid, myvarchar50) values('2E1662CB-FBC2-418A-9FFD-453895EE6FA4','9985268') insert into stackoverflow_rules(myguid, myvarchar50) values('6180E683-AA19-4B5D-9AA1-370B9AA8C156','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('39BDD429-4C49-4351-951F-016B89E700D0','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('9A09CF26-B168-48D2-9178-EBBD6C0BA5F4','9985267') insert into stackoverflow_rules(myguid, myvarchar50) values('56BA06A7-71F6-4AC2-817A-69A3E800BE54','9985266') insert into stackoverflow_rules(myguid, myvarchar50) values('35D8C2FE-4793-40BC-AECA-10AA722866AE','9985265') insert into stackoverflow_rules(myguid, myvarchar50) values('84162588-D2A2-4B67-869D-2D7A0CB3ABEC','9985264') insert into stackoverflow_rules(myguid, myvarchar50) values('05A8BE08-B0CF-4ADC-A901-2DB6B70713DA','9985263') insert into stackoverflow_rules(myguid, myvarchar50) values('11E1B3F5-5EC0-43BF-B868-B30BCC5F97B3','9985262') insert into stackoverflow_rules(myguid, myvarchar50) values('D48875E9-4A2B-4A5E-8C3A-6788ADD2E44E','9985261') insert into stackoverflow_rules(myguid, myvarchar50) values('5C29D799-5F86-4B5D-8B31-1AFB9E289417','9985260') insert into stackoverflow_rules(myguid, myvarchar50) values('3FAF4D60-F06A-4754-A26F-61DE6A121E9E','9985259') insert into stackoverflow_rules(myguid, myvarchar50) values('4F001BF6-BF60-4F40-AAE1-32CD707E87F8','9985258') insert into stackoverflow_rules(myguid, myvarchar50) values('56A91F39-F9D2-438C-A424-F26ED799F723','9985258') insert into stackoverflow_rules(myguid, myvarchar50) values('F55F72CA-0C2B-4DE7-B725-C9521CD57B23','9985257') insert into stackoverflow_rules(myguid, myvarchar50) values('364808A7-46E6-4639-A14D-6A350A56D2A0','9985256') insert into stackoverflow_rules(myguid, myvarchar50) values('68FA5B18-BBE3-4F1F-A9DE-D46853AD5D4A','9985255') insert into stackoverflow_rules(myguid, myvarchar50) values('B0118D37-807A-4D29-9B56-790F3D810C64','9985254') insert into stackoverflow_rules(myguid, myvarchar50) values('E998F33E-F05A-4C49-8CC2-B90BCFA9AE0E','9985253') insert into stackoverflow_rules(myguid, myvarchar50) values('A0531477-335C-4A7D-A1E7-1DAD54ECB7AD','9985252') insert into stackoverflow_rules(myguid, myvarchar50) values('96540D09-BA49-413B-9FD6-228DF524BE1A','9985251') insert into stackoverflow_rules(myguid, myvarchar50) values('23CD3C18-DAE2-463B-B27C-977488DF9C5F','9985251') insert into stackoverflow_rules(myguid, myvarchar50) values('8BF4AE7D-0AF0-47F9-9388-A2D4CA4C3160','9985250') insert into stackoverflow_rules(myguid, myvarchar50) values('E1892F4D-471C-4A49-8D68-F9F1E6E9C275','9985249') insert into stackoverflow_rules(myguid, myvarchar50) values('641A62CC-1DEE-4DFD-BC9A-DD47D7C45B18','9985248') insert into stackoverflow_rules(myguid, myvarchar50) values('3AF2F7CA-489D-4A79-A6F5-DB5578F381D0','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('939B3773-BE13-483C-A27F-5594A23AB6F2','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('81A5FD90-1E2D-4DB5-A10F-5624A576D566','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('E87109DD-7283-4B60-AB7F-F9A3DD384E52','9985247') insert into stackoverflow_rules(myguid, myvarchar50) values('689A789F-0FFC-45AE-87DF-66C5130338E2','9985246') insert into stackoverflow_rules(myguid, myvarchar50) values('4A9D3A2D-940B-4D45-8234-A1C98FF8A2FB','9985246') insert into stackoverflow_rules(myguid, myvarchar50) values('75073565-E623-40FC-AEF3-81620F2514A8','9985245') insert into stackoverflow_rules(myguid, myvarchar50) values('DB583FF8-1635-47C1-8241-D37C015C7642','9985244') insert into stackoverflow_rules(myguid, myvarchar50) values('39EA148B-55D1-4878-925A-39FA8592F451','9985243') insert into stackoverflow_rules(myguid, myvarchar50) values('BF1CE2D7-ABD3-460B-A7DC-BD0E2B2A5388','9985242') insert into stackoverflow_rules(myguid, myvarchar50) values('B6431717-26F0-436E-9DCC-C0C5240AC329','9985242') insert into stackoverflow_rules(myguid, myvarchar50) values('4F22E672-6F3D-454C-ABA7-D9B84D12DDE0','9985241') insert into stackoverflow_rules(myguid, myvarchar50) values('0436E893-DC43-4FF7-8BDC-BD0BF9E9A55D','9985240') insert into stackoverflow_rules(myguid, myvarchar50) values('60B2FE73-3575-4047-B324-63620FEACD6B','9985239') insert into stackoverflow_rules(myguid, myvarchar50) values('2041E1E5-F60F-4494-A000-F349F49662EC','9985238') insert into stackoverflow_rules(myguid, myvarchar50) values('B89636C8-4648-4058-8DC6-95DCE468CA63','9985237') insert into stackoverflow_rules(myguid, myvarchar50) values('4EC1B486-1E9C-4B41-94C1-5B24471BAD3D','9985236') insert into stackoverflow_rules(myguid, myvarchar50) values('4C86120E-1A27-4F59-948B-F11D8ACD498E','9985234') insert into stackoverflow_rules(myguid, myvarchar50) values('E8A1EA7A-5337-4769-9D23-25F7BFB589AF','9985217') insert into stackoverflow_rules(myguid, myvarchar50) values('6E7982F0-5899-4214-A05A-262E05A540CB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C55B838F-FD63-40E9-97AF-25E02A37ABB7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('95296596-ED86-4A88-8C46-27CF79D4AFB9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('149BC6CC-857C-4CD7-B374-29EE6382CFCF','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5D3E88FC-1DB5-4BAF-A16B-29F2A2C7D997','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1FDB6AD4-3860-411E-A247-22B9D00C9053','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('83BD156B-C5ED-460E-95F0-21E8B4254BF8','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2FD09C37-E224-414D-8C41-220B6528EB9C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A46D0B0D-70E2-4AEF-BF30-2244FFA8EF9E','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('824B7F04-51B4-48F6-920A-1FDE8571E32F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('79DD6034-A9DC-4AC1-9CD3-338F0521AC99','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BFD35E07-C5DE-4C8B-ADC4-36069655F450','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D655AD53-8107-481B-A1C9-340A7B31EFB6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7E6FF0E9-E1F4-4522-AB91-1A64C2AC0E3A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3A977BFE-17F6-46FA-8568-1A8ED2F48483','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D95A941D-DEB3-46B5-8B2B-1AC9741824ED','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('55528060-12AE-4C2E-A4A1-11E40881DEAE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('E99B4179-DE6E-4FCB-B7B9-165C05A94424','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20D2D92B-E45A-4883-A114-109C41E2F278','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7161CC4A-0B3E-4B97-A973-0C5A7F26CC0D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5E267539-8412-4423-A82C-0C74C995D561','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AE173244-38CD-4B8D-A1CB-0DC112AC6F54','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3ED8BF74-D0D1-4D11-92B3-008F11E34308','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6F77EAF9-0520-495A-ADB5-027F611E418D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('34DAFFBC-0733-4EC0-8607-0287DA5929D6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5266FB2F-2829-4C60-91E7-00D9A0832B8E','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A1EC9933-92F0-4805-93C2-071F503BE816','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EC19E064-940A-4EEA-9A12-07D2A0680C03','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7CA5F400-0E57-4A86-B4E1-094720E98B56','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('3A7F95B9-79B6-4323-B390-5B30AE23F66C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('CCA677CB-8889-40E6-8FDC-54C33DCBAD93','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('345FACAF-90B2-4B2D-B6CF-577F242F28C9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20531AFD-21EB-4B75-B50C-5FEABDAE29DB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A8FF5B5F-7976-43FE-B013-67CEE5F07710','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AEF6E39A-6CC2-48E8-9999-65D7CD103A45','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8AB565EE-4A53-40B9-9D95-66034FD72B6D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B0DAC1F6-B7E0-476F-8543-6282203A72C7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('DACE56ED-5964-44FD-9E35-68E3B409B2D7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C64F5A8A-1930-4824-9F0E-68EF848F2F86','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('38817195-BDB0-44AC-988D-690BE9E50FD0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BF4202D8-A23A-48DB-8799-694578EED45A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D26A3E39-EEA2-4928-82F9-676B3F901021','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0D3F16C2-237A-4461-9851-6B0555EDADCE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('F8CCEE52-A31D-4B6D-9F9F-6D53BE7EB919','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BCE3146A-AACE-4CF5-ADF1-3D5E57827D96','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5D6E4347-ABC8-4892-89EC-3FE666A8523B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8BD465A9-DC91-4960-BCC7-42EAEE51024A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('54FCE80F-F551-4548-BCE2-4499AB66D93F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('843C8651-A95D-458F-A6E7-488F5978FB56','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('4BE7BC8D-BC97-4F8F-85BB-48CC970B9465','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6C611A14-11CC-454D-A9C8-48CF0B2776A9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('50819781-F028-4976-A406-45D88804C566','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1EE5DBE0-0EA3-4F9B-8C78-469D00888892','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('33B87A5D-CB69-4BD2-BEC8-4D90D6A21232','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C31D7CD1-E9BA-4B03-BB11-4DE7022A45AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2E1FC057-4C57-4C27-86E4-4EC887B77ABE','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7811CF7B-2935-47A6-92CB-520C4E0AEC4A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2DAB5B2D-3D94-4F47-B7F5-536FAF08BCC6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2F405742-CF20-4995-84D3-976B108DBB99','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2852C9C8-325D-4C82-837E-9D6E751B794F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('40E87A07-DA9B-4277-90BB-8FA994470CB1','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('732DF392-C8D6-4EEF-B046-8FC6C0DB4DEC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('AA55681E-FE4A-46E9-8809-928941C165AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C146FDD8-EF42-48B4-A357-90CEE93FE902','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A0FEAAAD-8B44-4797-BD1F-A34AC872EC39','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A45F22EE-8740-4A3B-ABB5-A8F7EE32B107','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A073622-C5D6-41B0-BCC2-8220ED1978BA','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C7CFCCDC-5ADF-4BCF-BBE4-7E6D611B96CC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('A618A9A7-5DAC-4658-9B6F-7FC091C49122','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0F698448-929F-4E3B-A6B1-810BF66DC9AD','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2FD04ED9-AC24-4E80-8902-7AF2351DAB7B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2DA5D721-DFDD-4E96-9A5C-7DF7B0FA9ABB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('76816CF3-FB2E-440D-91E7-7FF179CE2702','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('228A8BC4-D136-4FDA-B006-84FD69D583A0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('838DCC6F-0C37-4144-9461-892F1DE2A0D4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('E65DF83F-FDA5-4883-9E29-8CAB66297328','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('621547A3-613E-4CB7-9537-8D1FF987ADC7','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2ABB681F-5258-4DF3-A0B8-89962ADDBCB8','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('F54E5C88-17FA-407C-B457-8B69077748E9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('63D66460-3834-4873-9BD4-74148EC300F4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('14A19194-457F-40D3-B08E-715EF830FD75','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('75CF2565-D36A-46F6-935E-BFD82144B8A2','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EDA93745-2009-41F6-B01F-C3F9930C0F67','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('20CFC7EE-7188-49F0-BDEB-C0CAF3610F2C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('ED6EDD00-2151-4CA7-9F22-BF6DE74B0622','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('EC8DAC77-E516-4B8E-9FB8-C5A4C963563A','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('C6FDECC9-24BE-4AA0-B33C-C9195DC630B0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BD9890BA-8F8A-4596-B0F0-BA2F3467E5B4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2F496F30-1E08-4174-ABE4-BBE3977268EF','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2CD7D3D2-77D4-43DE-A44F-B248AAF8891F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FFC7E6E7-00E9-41E8-BD11-B0EFD4BA3971','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B8348F9C-D57F-4561-9981-B14DAEE7257B','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('2CAE1761-8DB0-4D18-8FF6-AD79D44EF699','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('9A241CB7-1FAE-4767-8E13-AF3A66123DC0','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B836DB33-FB5A-4FF7-A293-D7A29488A6F6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('23207756-F6E1-406C-AEAC-DFC1710E3E41','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('64ED1587-8791-414F-B2EA-E265584BECE9','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('07442948-0FE7-4EDD-8779-E4808B20852C','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('ACAE3351-3EDF-43E3-8021-E4CBAF20BA55','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1E96680B-1E92-40F2-AAAE-E4D524206982','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('57A0F1D0-8029-4110-9C2A-D3A2F13E6776','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('D0A76745-1930-4755-90EA-D3CA0240BA6D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5379B540-4DCC-4A71-BE19-D1DA4B808A4D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B41B60EB-5C83-4CA6-8768-D2226A164FB6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('31CA2727-7227-4377-B127-D261AA0CD304','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('BD7102BB-FA67-4A33-82C4-D3616ED7CB3F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('7090FCA6-144A-430B-A609-CDDFB39C4D25','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('382BE0D2-A92A-4D73-B2CE-D640A2BBA523','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A4011C0-40C8-4ABD-8ACF-D6D3A220B940','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('53A62E1F-5926-4DEA-A7FB-C99B14A2120D','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('24C84EE0-70DF-4602-B133-F1CB765F2B29','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('B40C80C7-26C0-43F9-9B8A-F2C46A6FD79F','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('8F9FE478-6961-4042-A62D-F464F21BFC46','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6E9B27D8-C963-4413-ABB5-F31F307F2AE1','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1CCAB652-042A-4C6F-B89B-ECBFFCA468C6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FDA7C815-F4ED-4E6D-AE95-ED18005651EB','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('6D48A842-B5F9-45AA-BC3C-EF74C911E2FC','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('571A48F3-10E2-419C-8E72-EB4B833FA2A2','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('27C54188-4CD7-447D-9C47-E7C7F4A87A47','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('0F8E94BC-1612-4086-A6C1-E883C83758E4','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('24315A1A-CFD9-4984-AF64-F9A79E960D45','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('38602998-8149-4B6A-91EA-F9D4B93810A6','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('1FDB6A11-E422-4EA1-B4AC-FDD1197BB7F3','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('FDDCB1EA-37C9-4833-BDD8-FEFDEEF0A749','9980234') insert into stackoverflow_rules(myguid, myvarchar50) values('5241815C-CE10-4C08-BE01-CB2D1012CCF0','9980066') insert into stackoverflow_rules(myguid, myvarchar50) values('D0E5E79E-4502-42F8-B8C6-EDE3D20526B4','9970234') insert into stackoverflow_rules(myguid, myvarchar50) values('B173FC5D-BAB3-4942-A904-D9D3BA66A1ED','9960234') insert into stackoverflow_rules(myguid, myvarchar50) values('D5C2A2D9-2BA6-4059-896C-B464C8C8CB5F','9960234') insert into stackoverflow_rules(myguid, myvarchar50) values('32B865C7-1D67-457A-9550-DFDBCBFB12C6','9951166') insert into stackoverflow_rules(myguid, myvarchar50) values('82F0A99B-0C88-44EB-BE50-265C6C4C1B86','9400000') insert into stackoverflow_rules(myguid, myvarchar50) values('BDE9DC0D-B9A7-4AC9-83D5-8F9ED5F25FDA','9299199') insert into stackoverflow_rules(myguid, myvarchar50) values('2FE2415A-9D51-4AD4-9679-74BDA93DC6A6','9299166') insert into stackoverflow_rules(myguid, myvarchar50) values('4BC3D4FF-5FBB-484E-8BC6-CFE90706E3D2','9299111') insert into stackoverflow_rules(myguid, myvarchar50) values('0FC22F14-A499-4C8C-9E6B-0CF613ACF505','9281266') insert into stackoverflow_rules(myguid, myvarchar50) values('AC6B2795-A9A0-40DF-9BAF-04D4A74F4B9B','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('DAA73B60-65B9-46B2-B1AC-76A74B621700','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('D419DCBB-A76E-47DF-A59D-803AFAB770C5','9281166') insert into stackoverflow_rules(myguid, myvarchar50) values('405847E0-4764-4409-81E8-8ECCCAAE94BB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('76D59559-F986-45EF-9F74-7870D97A377D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('3F6F78A9-7930-4F76-839F-77304396CBC3','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('2C1A62F2-B783-432B-B83A-6BD8B29EE2DE','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D371D319-6E88-4286-A46E-6C1905ADD6AC','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('10C42C2E-DC1A-43C4-959C-98D3A798D631','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('215F0003-188D-45C9-85BE-9B3811760CCB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('4DD2BA43-BA1C-44BE-8C10-996454D63205','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('26D863E7-6F96-42BC-A2BA-99B30D94F6D9','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('625A2793-A60F-4FE7-9BD4-A953877B258D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('5B5A2538-74E0-4A6F-9929-AA29BA3BDCCE','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('B8597353-0254-42AB-BAF7-AA4DAF195CC8','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('22F392BC-B42C-434F-9E32-AB8DFFC6EA76','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E703EEE4-82B1-43C0-914F-ABCF3EF53E91','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('09BD6548-7395-4450-A7CA-D0AB0631F222','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('71D737EB-59CA-4685-827D-E17A0B4FA44D','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('F09ACB1E-64B0-4F29-86BF-E323C5347883','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8A39E85B-8E49-44C1-8B4A-B9D79CC3F97F','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E3BE436C-0BEC-45CE-9680-AFCE70D59B84','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('915D4F2A-8430-479F-84ED-064A3D6889DA','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('FF6DEFF5-072D-4E14-A6C2-0EF4862CCF28','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('2E7944D1-5A85-4D85-9660-138F30BED95C','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E449E8A8-1CE4-49DE-898F-1C357777B674','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('65E89A21-5908-4913-840A-28E625F4C003','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('E23175FD-B60E-4FD4-A99A-2DB232BCB6B1','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('A521CC05-21C1-4759-AA00-384014F9C4CB','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('218CE896-8D3F-447B-A504-33428F797CE2','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D4A3A407-20BF-481D-95DE-2C2BED13FD60','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('B5FCEB1B-3F0D-4DFE-B47D-4D44E88879A1','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('519BB489-1606-4A64-BA49-456DE79FC471','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('837D5167-CE68-4840-9592-432D371EE3AF','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('F140182F-844E-4CA7-BAA1-6A96FA726A93','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8FB3AE45-3BFF-4DBF-ABAE-61A97EE73F36','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('33D59F0B-DAD6-4608-BF70-F2C49805FF54','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('5BFB5CEC-1322-49B0-A626-EC94092998A3','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('8AB2E1F8-A4F6-48AC-B789-FB1F46A89617','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('CD559FD0-552F-4F54-A638-F86878413D7B','9280666') insert into stackoverflow_rules(myguid, myvarchar50) values('D23AC171-E7E8-4310-B3B5-1253CCA33E5C','9251166') insert into stackoverflow_rules(myguid, myvarchar50) values('0E777743-0C70-4D76-9293-076F9DBC02EB','9251166') insert into stackoverflow_rules(myguid, myvarchar50) values('B0CDE199-9BDF-4CDD-8E32-1384CB8512B4','9200166') insert into stackoverflow_rules(myguid, myvarchar50) values('1F48F171-5179-4EC9-9554-2DA6EF60B9E8','9002266') insert into stackoverflow_rules(myguid, myvarchar50) values('A9168993-F6AF-4F81-A166-441411E72691','9001166') insert into stackoverflow_rules(myguid, myvarchar50) values('25FB4906-2AC8-4A29-B077-C4BC681D3227','9000001') insert into stackoverflow_rules(myguid, myvarchar50) values('02E14983-49E2-4867-B0C2-0BCF9BC3BAB6','8860235') insert into stackoverflow_rules(myguid, myvarchar50) values('53F915DE-1A8A-4A75-A661-0CAB56F39B11','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('834F1EB8-AEA0-435F-81AF-0C212BD54A17','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('797AFF3A-8CB0-4AE8-8430-0ED04A72394B','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('56B83693-3F46-4D8F-93A8-098517C96E94','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1559018C-71F3-45FC-9642-09DFCC06EA78','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('04A86146-97FC-46C4-B1FE-07E916509908','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1A3367B3-CB36-40CA-8D7D-02206840089A','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('33626BD1-AED2-4AEF-9289-199F641FDFE0','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8468E795-71A8-4417-8179-1778FD7E915E','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('9EE6FF40-AAFB-46A8-8655-186515189AB8','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('D314A6A4-BBB5-4499-9EF4-1B37EA9131B6','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('788898AF-48E6-4DA0-BDBB-12871FE81D35','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('34D55FA5-FF82-49B5-A4EF-144999BB1B4F','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('C8FF93B1-EB7C-4711-85BA-14C78B7A27C1','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('54199346-624C-4B1E-8293-14EE9C6EF23B','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('5105C133-9120-4075-9EB6-151569E0719D','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('D03366DB-BC4A-44CC-ABC8-151F627E2A95','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('40EF76A3-2250-4840-90C1-1577AE855EEE','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8E229744-7528-4727-880A-168331E72ED0','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('10F66C0C-C97B-4A8B-9FAC-160F3AA09A62','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('8173CB1C-A65D-4B89-9BD3-2DC4BA2F4C72','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('1CEAE246-6323-402D-95DB-2AC25DF1FD83','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('BB859D4A-3B1C-40FC-8C74-2BD44902894C','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('A31C45AF-D149-4789-A22D-2FB3E6A17627','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('52F98EEC-D3AC-429C-948F-306FA865EDE7','8860234') insert into stackoverflow_rules(myguid, myvarchar50) values('06E84032-C102-49F4-B544-3169FC1C62F4','8860234') insert into stackoverfloRead the article
-
Occasional Deadlock.
- by Carl Robinson
Im having trouble with a web application that will deadlock occasionally There are 3 queries involved. 2 are trying to update a table UPDATE AttendanceRoll SET ErrorFlag = 0 WHERE ContractID = @ContractID AND DATEPART(month,AttendanceDate) = DATEPART(month,@Month_Beginning) AND DATEPART(year,AttendanceDate) = DATEPART(year,@Month_Beginning) and one is trying to insert into the table INSERT INTO AttendanceRoll (AttendanceDate, ContractID, PersonID, StartTime, EndTime, Hours, AbsenceReason, UpdateCount, SplitShiftID, ModifiedBy, ModifiedDate) SELECT @P33, @P34, @P35, CONVERT(datetime,REPLACE( @P36 ,'.',':')), CONVERT(datetime,REPLACE( @P37 ,'.',':')), @P38, @P39, @P40, 1, @P41, GETDATE() The deadlock graph shows a kind of circular arangement of page locks and an exchange event and the 2 update queries have the same server process id. If anyone has any ideas about how I should go about solving this issue it would be most appreciated. I have the deadlock graph that I can post if anybody needs to see it. Thanks Carl RRead the article
