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  • Six in Six - SQL Server 2012 Webinars

    - by JustinL
    We're running six webinars over the next six months covering our experiences with SQL Server 2012 and customer deployments. I'm presenting the first on upgrading to SQL Server 2012 next month, subsequent sessions will be delivered by colleagues: NOVEMBER: SQL Server 2012 Upgrade Approach and considerations. Friday 23rd November 12:00 – 13:00 Present approaches for upgrade testing, managing risk and rollback. The session will include details on minimizing downtime and upgrading from SQL Server 2000, 2005, and 2008 including.... More details and register. DECEMBER: Delivering Mission Critical BI with SQL Server 2012– Friday 14th December 12:00-13:00 Information is the lifeblood of many organisations and the availability of timely, accurate information is critical to strategic decision making. This session covers the features and capabilities… More details and register. JANUARY: Architecting Highly Available solutions with SQL Server 2012 – Friday 18th January 12:00- 13:00 Overview and comparison of the high availability features available within SQL Server 2012. The session considers business requirements for availability and recoverability and presents a number of alternative solution designs to meet… More details and register. FEBRUARY: Private cloud deployments with SQL Server 2012 – Friday 15th February 12:00- 13:00 Cloud based technology provide cost effective scale and flexibility. This session provides an overview of the benefits organisations can realise through private cloud… More details and register. MARCH: Visualising data patterns with SQL Server 2012 – Friday 22nd March 12:00- 13:00 This webinar demonstrates the ease of delivering business insight by exploring information and identifying trends through data visualisation. SQL Server 2012 provides new capability with enhanced performance and … More details and register. APRIL: Architecting Highly Available solutions with SQL Server 2012 – Friday 26th April 12:00- 13:00 Customers are increasingly interested in leveraging the benefits of cloud based solutions to provide scalable and flexible infrastructure to host their applications. This session looks at common design patterns and workloads… More details and register. Justin Langford - Coeo Ltd SQL Server Consultants | SQL Server Remote DBA

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  • Oracle SQL Developer: Fetching SQL Statement Result Sets

    - by thatjeffsmith
    Running queries, browsing tables – you are often faced with many thousands, if not millions, of rows. Most people are happy with looking at the first few rows. But occasionally you need to see more. SQL Developer doesn’t show you all records, all at once. Instead, it brings the records down in ‘chunks,’ or as-needed. How It Works There is a preference that tells SQL Developer how many records to get in a single request, or ‘fetch’ of records. The default is 50… So if I run a query that returns MORE than 50 rows: There’s more than 50 records in this resultset, but we have 50 in the grid to start with. We don’t know how many records are in this result set actually. To show the record count here, we actually go physically query the database with a row count type query. All we know is that the query has finished executing, and that there are rows available to go fetch. It tells us when it’s done. As you scroll through the grid, if you get to record 50 and scroll more, we’ll get 50 more records. Or, you can cheat to get to the ‘bottom’ of the result set. You can ask SQL Developer to just to get all the records at once… Once all the records have been fetched, you’ll see this: All rows fetched! A word of caution There’s a reason we have the default set to 50 and not 1000. Bringing back data can get expensive and heavy. We’ve found the best performance to be found in that 50 to 200 record range.

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  • Linq to sql, summing timespan?

    - by DaRKoN_
    I have a time field in a mssql 2008 database that I want to do something to the effect of: Timespent = x.sum(x => x.AmountOfTime); Where AmountOfTime is a time MSSQL field. Sum seems to only work on decimals, how can I add these columns?

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  • Python 3: timestamp to datetime: where does this additional hour come from?

    - by Beau Martínez
    I'm using the following functions: # The epoch used in the datetime API. EPOCH = datetime.datetime.fromtimestamp(0) def timedelta_to_seconds(delta): seconds = (delta.microseconds * 1e6) + delta.seconds + (delta.days * 86400) seconds = abs(seconds) return seconds def datetime_to_timestamp(date, epoch=EPOCH): # Ensure we deal with `datetime`s. date = datetime.datetime.fromordinal(date.toordinal()) epoch = datetime.datetime.fromordinal(epoch.toordinal()) timedelta = date - epoch timestamp = timedelta_to_seconds(timedelta) return timestamp def timestamp_to_datetime(timestamp, epoch=EPOCH): # Ensure we deal with a `datetime`. epoch = datetime.datetime.fromordinal(epoch.toordinal()) epoch_difference = timedelta_to_seconds(epoch - EPOCH) adjusted_timestamp = timestamp - epoch_difference date = datetime.datetime.fromtimestamp(adjusted_timestamp) return date And using them with the passed code: twenty = datetime.datetime(2010, 4, 4) print(twenty) print(datetime_to_timestamp(twenty)) print(timestamp_to_datetime(datetime_to_timestamp(twenty))) And getting the following results: 2010-04-04 00:00:00 1270339200.0 2010-04-04 01:00:00 For some reason, I'm getting an additional hour added in the last call, despite my code having, as far as I can see, no flaws. Where is this additional hour coming from?

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  • LINQ to SQL vs Entity Framework for an app with a future SQL Azure version

    - by Craig L
    I've got a vertical market Dot Net Framework 1.1 C#/WinForms/SQL Server 2000 application. Currently it uses ADO.Net and Microsoft's SQLHelper for CRUD operations. I've successfully converted it to Dot Net Framework 4 C#/WinForms/ SQL Server 2008. What I'd like to do is also offer my customers the ability to use SQL Azure as a backend storage for their data instead of local/LAN SQL Server. If I know SQL Azure is in my application's future, should I: A. Switch to LINQ to SQL B. Swith to Entity Framework C. Stick with ADO.Net and SQLHelper Thanks !

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  • DateTime in SqlServer VisualStudio C#

    - by menacheb
    Hi, I Have a DataBase in my project With Table named 'ProcessData' and columns named 'Start_At' (Type: DateTime) and 'End_At' (Type: DateTime) . When I try to enter a new record into this table, it enter the data in the following format: 'YYYY/MM/DD HH:mm', when I actualy want it to be in that format: 'YYYY/MM/DD HH:mm:ss' (the secondes dosen't apper). Does anyone know why, and what should I do in order to fix this? Here is the code I using: con = new SqlConnection("...."); String startAt = "20100413 11:05:28"; String endAt = "20100414 11:05:28"; ... con.Open();//open the connection, in order to get access to the database SqlCommand command = new SqlCommand("insert into ProcessData (Start_At, End_At) values('" + startAt + "','" + endAt + "')", con); command.ExecuteNonQuery();//execute the 'insert' query. con.Close(); Many thanks

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  • exec sp_executesql error 'Incorrect syntax near 1' when using datetime parameter

    - by anne78
    I have a Ssrs report which sends the following text to the database : EXEC ( 'DECLARE @TeamIds as TeamIdTableType ' + @Teams + ' EXEC rpt.DWTypeOfSicknessByCategoryReport @TeamIds , ' + @DateFrom + ', ' + @DateTo + ', ' + @InputRankGroups + ', ' + @SubCategories ) When I view this in profiler it interprets this as : exec sp_executesql N'EXEC ( ''DECLARE @TeamIds as TeamIdTableType '' + @Teams + '' EXEC rpt.DWTypeOfSicknessByCategoryAndEmployeeDetailsReport @TeamIds, '' + @DateFrom + '', '' + @DateTo + '', '' + @InputRankGroups + '', '' + @SubCategories )',N'@Teams nvarchar(34),@DateFrom datetime,@DateTo datetime,@InputRankGroups varchar(1),@SubCategories bit',@Teams=N'INSERT INTO @TeamIds VALUES (5); ',@DateFrom='2010-02-01 00:00:00',@DateTo='2010-04-30 00:00:00',@InputRankGroups=N'1',@SubCategories=1 When this sql runs it errors, on the dates. I have tried changing the format of the date but it does not help. If I remove the dates it works fine. Any help would be appreciated.

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  • Database Firewall

    - by ???02
    Database Firewall?????SQL????????SQL????????????WEB?????HTTP??????SQL????????SQL????????????????????????????????????????????????????????????SQL??????????????????????????????????????·WEB???????????????????·??????????????????WEB???????????WEB??????????Web?????????????????IPA???????????SQL?????????????????????SQL??????????????????????SQL????????????????WEB??????????????????????????????????????????????????????????????????????????????????????????????WEB????????????????????????????????????????B to B?B to C???WEB????????????????????????????????????????????????????????????????????????????WEB?????????????????????WEB??????????????????·??????????????????????????????????????????????????????????????????????????????????????????WEB???????SQL?????????????????????????????Oracle Database Firewall???SQL??????????????????????????????????????????????????????????????????????????????2011?Oracle Database Firewall?????????·????????????????????????????????????????Oracle Database Firewall??????????????????SQL?????????·?????????????????????? Oracle Database Fireawall ?Oracle Database Firewall???????????????????????????????????????????????????????????SQL??????????????????????????????????????????2????????????????????SQL???Pass?Block????????????SQL?????????????????????????????????????????????????????????????????????????????????SQL????????????????????????????????????????????????????????????????????????????????????????????SQL?Oracle Database Firewall???????????????????SQL????????????????WEB??????????Oracle Database Firewall???????????????????????????????????Oracle Database??????SQL Server?DB2?Sybase??????????2????????Oracle Database Firewall?????????????????????????????????????????????????Oracle Database Firewall?????????????????????????????????????????????SQL???????????????????????????????????????????????????????????SPAN???(?????????)?????????????????????????????????SQL???????????????????????????????????????????SQL?Block???Pass??????????????????????????????????IDS?IPS????????????????????WAF (Web Application Firewall)? ??????????????????????????????????Database Firewall???????????????SQL????????????SQL????400????????????????(ISO/IEC 9075)??????????Oracle Database Firewall???????????????????????????????????????????SQL?????????????????????SQL??????Oracle Database Firewall??Oracle Database, SQL Server, DB2??????????????????????SQL???????????????????SQL??????????????????????????????????SQL???????????????????????????????????SQL????????????????????????????????????Oracle Database Firewall???SQL??????Oracle Database Firewall?????????????????????????????????????????????????????????????????????????????(Oracle Database???10gR2??XML??????????????????????????????????????????????????????????????Oracle Database???????????????????Oracle Database???????????????????????????????)???Oracle Database Firewall??????????????????????????????????????????????????????????????Oracle Database Firewall????????????????????????????????????????????????????????? ?????? Oracle Direct

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  • Whether to use UNION or OR in SQL Server Queries

    - by Dinesh Asanka
    Recently I came across with an article on DB2 about using Union instead of OR. So I thought of carrying out a research on SQL Server on what scenarios UNION is optimal in and which scenarios OR would be best. I will analyze this with a few scenarios using samples taken  from the AdventureWorks database Sales.SalesOrderDetail table. Scenario 1: Selecting all columns So we are going to select all columns and you have a non-clustered index on the ProductID column. --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 874 So query 1 is using OR and the later is using UNION. Let us analyze the execution plans for these queries. Query 1 Query 2 As expected Query 1 will use Clustered Index Scan but Query 2, uses all sorts of things. In this case, since it is using multiple CPUs you might have CX_PACKET waits as well. Let’s look at the profiler results for these two queries: CPU Reads Duration Row Counts OR 78 1252 389 3854 UNION 250 7495 660 3854 You can see from the above table the UNION query is not performing well as the  OR query though both are retuning same no of rows (3854).These results indicate that, for the above scenario UNION should be used. Scenario 2: Non-Clustered and Clustered Index Columns only --Query 1 : OR SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR ProductID =709 OR ProductID =998 OR ProductID =875 OR ProductID =976 OR ProductID =874 GO --Query 2 : UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 709 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 998 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 875 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 976 UNION SELECT ProductID,SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail WHERE ProductID = 874 GO So this time, we will be selecting only index columns, which means these queries will avoid a data page lookup. As in the previous case we will analyze the execution plans: Query 1 Query 2 Again, Query 2 is more complex than Query 1. Let us look at the profile analysis: CPU Reads Duration Row Counts OR 0 24 208 3854 UNION 0 38 193 3854 In this analyzis, there is only slight difference between OR and UNION. Scenario 3: Selecting all columns for different fields Up to now, we were using only one column (ProductID) in the where clause.  What if we have two columns for where clauses and let us assume both are covered by non-clustered indexes? --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2: As we can see, the query plan for the second query has improved. Let us see the profiler results. CPU Reads Duration Row Counts OR 47 1278 443 1228 UNION 31 1334 400 1228 So in this case too, there is little difference between OR and UNION. Scenario 4: Selecting Clustered index columns for different fields Now let us go only with clustered indexes: --Query 1 : OR SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 OR CarrierTrackingNumber LIKE 'D0B8%' --Query 2 : UNION SELECT * FROM Sales.SalesOrderDetail WHERE ProductID = 714 UNION SELECT * FROM Sales.SalesOrderDetail WHERE CarrierTrackingNumber  LIKE 'D0B8%' Query 1 Query 2 Now both execution plans are almost identical except is an additional Stream Aggregate is used in the first query. This means UNION has advantage over OR in this scenario. Let us see profiler results for these queries again. CPU Reads Duration Row Counts OR 0 319 366 1228 UNION 0 50 193 1228 Now see the differences, in this scenario UNION has somewhat of an advantage over OR. Conclusion Using UNION or OR depends on the scenario you are faced with. So you need to do your analyzing before selecting the appropriate method. Also, above the four scenarios are not all an exhaustive list of scenarios, I selected those for the broad description purposes only.

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  • How to avoid the "divide by zero" error in SQL?

    - by Henrik Staun Poulsen
    I hate this error message: Msg 8134, Level 16, State 1, Line 1 Divide by zero error encountered. What is the best way to write SQL code, so that I will never see this error message again? I mean, I could add a where clause so that my divisor is never zero. Or I could add a case statement, so that there is a special treatment for zero. Is the best way to use a NullIf clause? Is there better way, or how can this be enforced?

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  • Dynamic openrowset in T-Sql Function or viable alternative?

    - by IronicMuffin
    I'm not quite sure how to phrase this. Here is the problem: I have 1-n items that I need to join to a different system (AS400) to get some data. The openrowset takes forever if I specify the where criteria outside of the openrowset, e.g.: select * from openrowset('my connection string', 'select code, myfield from myTable') where code = @code My idea was to create a function that takes in the item number and uses dynamic sql to inject it into the openrowset string, a la: declare @cmd varchar(1000) set @cmd = 'select * from openrowset('my connection string', ''select code, myfield from myTable where code = ' + @code + ''')' Apparently I can't use the insert.. exec.. strategy inside of a function. Is there any better way to achieve this? I was going to use this in joins where I needed the external data using cross apply. I'm not married to tvf and cross apply, but I do need a method of getting this data quickly. Thanks for any help.

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  • Generated LinqtoSql Sql 5x slower than SAME EXACT hand-written sql

    - by JasonM
    I have a sql statement which is hardcoded in an existing VB6 app. I'm upgrading a new version in C# and using Linq To Sql. I was able to get LinqToSql to generate the same sql (before I start refactoring), but for some reason the Sql generated by LinqToSql is 5x slower than the original sql. This is running the generated Sql Directly in LinqPad. The only real difference my meager sql eyes can spot is the WITH (NOLOCK), which if I add into the LinqToSql generated sql, makes no difference. Can someone point out what I'm doing wrong here? Thanks! Existing Hard Coded Sql (5.0 Seconds) SELECT DISTINCT CH.ClaimNum, CH.AcnProvID, CH.AcnPatID, CH.TinNum, CH.Diag1, CH.GroupNum, CH.AllowedTotal FROM Claims.dbo.T_ClaimsHeader AS CH WITH (NOLOCK) WHERE CH.ContractID IN ('123A','123B','123C','123D','123E','123F','123G','123H') AND ( ( (CH.Transmited Is Null or CH.Transmited = '') AND CH.DateTransmit Is Null AND CH.EobDate Is Null AND CH.ProcessFlag IN ('Y','E') AND CH.DataSource NOT IN ('A','EC','EU') AND CH.AllowedTotal > 0 ) ) ORDER BY CH.AcnPatID, CH.ClaimNum Generated Sql from LinqToSql (27.6 Seconds) -- Region Parameters DECLARE @p0 NVarChar(4) SET @p0 = '123A' DECLARE @p1 NVarChar(4) SET @p1 = '123B' DECLARE @p2 NVarChar(4) SET @p2 = '123C' DECLARE @p3 NVarChar(4) SET @p3 = '123D' DECLARE @p4 NVarChar(4) SET @p4 = '123E' DECLARE @p5 NVarChar(4) SET @p5 = '123F' DECLARE @p6 NVarChar(4) SET @p6 = '123G' DECLARE @p7 NVarChar(4) SET @p7 = '123H' DECLARE @p8 VarChar(1) SET @p8 = '' DECLARE @p9 NVarChar(1) SET @p9 = 'Y' DECLARE @p10 NVarChar(1) SET @p10 = 'E' DECLARE @p11 NVarChar(1) SET @p11 = 'A' DECLARE @p12 NVarChar(2) SET @p12 = 'EC' DECLARE @p13 NVarChar(2) SET @p13 = 'EU' DECLARE @p14 Decimal(5,4) SET @p14 = 0 -- EndRegion SELECT DISTINCT [t0].[ClaimNum], [t0].[acnprovid] AS [AcnProvID], [t0].[acnpatid] AS [AcnPatID], [t0].[tinnum] AS [TinNum], [t0].[diag1] AS [Diag1], [t0].[GroupNum], [t0].[allowedtotal] AS [AllowedTotal] FROM [Claims].[dbo].[T_ClaimsHeader] AS [t0] WHERE ([t0].[contractid] IN (@p0, @p1, @p2, @p3, @p4, @p5, @p6, @p7)) AND (([t0].[Transmited] IS NULL) OR ([t0].[Transmited] = @p8)) AND ([t0].[DATETRANSMIT] IS NULL) AND ([t0].[EOBDATE] IS NULL) AND ([t0].[PROCESSFLAG] IN (@p9, @p10)) AND (NOT ([t0].[DataSource] IN (@p11, @p12, @p13))) AND ([t0].[allowedtotal] > @p14) ORDER BY [t0].[acnpatid], [t0].[ClaimNum] New LinqToSql Code (30+ seconds... Times out ) var contractIds = T_ContractDatas.Where(x => x.EdiSubmissionGroupID == "123-01").Select(x => x.CONTRACTID).ToList(); var processFlags = new List<string> {"Y","E"}; var dataSource = new List<string> {"A","EC","EU"}; var results = (from claims in T_ClaimsHeaders where contractIds.Contains(claims.contractid) && (claims.Transmited == null || claims.Transmited == string.Empty ) && claims.DATETRANSMIT == null && claims.EOBDATE == null && processFlags.Contains(claims.PROCESSFLAG) && !dataSource.Contains(claims.DataSource) && claims.allowedtotal > 0 select new { ClaimNum = claims.ClaimNum, AcnProvID = claims.acnprovid, AcnPatID = claims.acnpatid, TinNum = claims.tinnum, Diag1 = claims.diag1, GroupNum = claims.GroupNum, AllowedTotal = claims.allowedtotal }).OrderBy(x => x.ClaimNum).OrderBy(x => x.AcnPatID).Distinct(); I'm using the list of constants above to make LinqToSql Generate IN ('xxx','xxx',etc) Otherwise it uses subqueries which are just as slow...

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  • Trouble with a query

    - by Mark Allison
    Hi there, I'm having trouble with a query in SQL Server 2008 on some forex trading data. I have a trades table and an orders table. A trade needs to comprise of 2 or more orders. DDL schema and sample data below. What I want to do is write a query that shows the profit/loss in pips for each trade. A pip is 1/1000th of a currency. So the difference between USD 1.3441 and 1.3442 is 1 pip in forex-speak. A trade usually has one entry order and multiple exit orders. So for example if I buy 3 lots of the currency pair GBP/USD at the exchange rate of 1.6100 and then sell 1 lot at 1.6150, 1 lot at 1.6200 and 1 lot at 1.6250 then the profit is (1.6150 - 1.6100) + (1.6200 - 1.6100) + (1.6250 - 1.6100), or 50 + 100 + 150 = 300 pips profit. The trade could also go the other way (Shorting). For example the currency pair can be sold first before it's bought back later at a cheaper price. I would like a query that returns the following: tradeId, currencyPair, profitInPips It seems like a pretty straightforward query, but it's eluding me right now. Here's my DDL and sample data: CREATE TABLE [dbo].[trades]( [tradeId] [int] IDENTITY(1,1) NOT NULL, [currencyPair] [char](6) NOT NULL, CONSTRAINT [PK_trades] PRIMARY KEY CLUSTERED ( [tradeId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO SET ANSI_PADDING OFF GO SET IDENTITY_INSERT [dbo].[trades] ON INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (1, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (2, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (3, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (4, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (5, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (6, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (7, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (8, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (9, N'GBPUSD') INSERT [dbo].[trades] ([tradeId], [currencyPair]) VALUES (10, N'GBPUSD') SET IDENTITY_INSERT [dbo].[trades] OFF GO CREATE TABLE [dbo].[orders]( [orderId] [int] IDENTITY(1,1) NOT NULL, [tradeId] [int] NOT NULL, [amount] [decimal](18, 1) NOT NULL, [buySell] [char](1) NOT NULL, [rate] [decimal](18, 6) NOT NULL, [orderDateTime] [datetime] NOT NULL, CONSTRAINT [PK_orders] PRIMARY KEY CLUSTERED ( [orderId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO SET ANSI_PADDING OFF GO SET IDENTITY_INSERT [dbo].[orders] ON INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (1, 1, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.606500 AS Decimal(18, 6)), CAST(0x00009CF40083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (2, 1, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.615500 AS Decimal(18, 6)), CAST(0x00009CF400A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (3, 2, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.608000 AS Decimal(18, 6)), CAST(0x00009CF500000000 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (4, 2, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.603000 AS Decimal(18, 6)), CAST(0x00009CF50083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (5, 2, CAST(2.0 AS Decimal(18, 1)), N'B', CAST(1.605500 AS Decimal(18, 6)), CAST(0x00009CF50107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (6, 3, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.595500 AS Decimal(18, 6)), CAST(0x00009CF70083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (7, 3, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.590500 AS Decimal(18, 6)), CAST(0x00009CF700C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (8, 3, CAST(2.0 AS Decimal(18, 1)), N'B', CAST(1.594500 AS Decimal(18, 6)), CAST(0x00009CF701499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (9, 4, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.611000 AS Decimal(18, 6)), CAST(0x00009CFB0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (10, 4, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.616000 AS Decimal(18, 6)), CAST(0x00009CFB00A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (11, 4, CAST(2.0 AS Decimal(18, 1)), N'S', CAST(1.611500 AS Decimal(18, 6)), CAST(0x00009CFB0107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (12, 5, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.613000 AS Decimal(18, 6)), CAST(0x00009CFC0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (13, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.618000 AS Decimal(18, 6)), CAST(0x00009CFC0107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (14, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.623000 AS Decimal(18, 6)), CAST(0x00009CFC0083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (15, 5, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.628000 AS Decimal(18, 6)), CAST(0x00009CFD00C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (16, 6, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.632000 AS Decimal(18, 6)), CAST(0x00009D020083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (17, 6, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.637000 AS Decimal(18, 6)), CAST(0x00009D0200A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (18, 6, CAST(2.0 AS Decimal(18, 1)), N'S', CAST(1.630000 AS Decimal(18, 6)), CAST(0x00009D0200C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (19, 7, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.634500 AS Decimal(18, 6)), CAST(0x00009D0201499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (20, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.639500 AS Decimal(18, 6)), CAST(0x00009D0300000000 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (21, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.644500 AS Decimal(18, 6)), CAST(0x00009D030083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (22, 7, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.637500 AS Decimal(18, 6)), CAST(0x00009D0300C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (23, 8, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.625000 AS Decimal(18, 6)), CAST(0x00009D0400C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (24, 8, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.620000 AS Decimal(18, 6)), CAST(0x00009D050083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (25, 8, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.615000 AS Decimal(18, 6)), CAST(0x00009D0500A4CB80 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (26, 8, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.623000 AS Decimal(18, 6)), CAST(0x00009D050107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (27, 9, CAST(3.0 AS Decimal(18, 1)), N'S', CAST(1.618000 AS Decimal(18, 6)), CAST(0x00009D0600C5C100 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (28, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.613000 AS Decimal(18, 6)), CAST(0x00009D0600D63BC0 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (29, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.608000 AS Decimal(18, 6)), CAST(0x00009D0600E6B680 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (30, 9, CAST(1.0 AS Decimal(18, 1)), N'B', CAST(1.613300 AS Decimal(18, 6)), CAST(0x00009D0601391C40 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (31, 10, CAST(3.0 AS Decimal(18, 1)), N'B', CAST(1.614500 AS Decimal(18, 6)), CAST(0x00009D090083D600 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (32, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.619500 AS Decimal(18, 6)), CAST(0x00009D090107AC00 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (33, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.624500 AS Decimal(18, 6)), CAST(0x00009D0901499700 AS DateTime)) INSERT [dbo].[orders] ([orderId], [tradeId], [amount], [buySell], [rate], [orderDateTime]) VALUES (34, 10, CAST(1.0 AS Decimal(18, 1)), N'S', CAST(1.619000 AS Decimal(18, 6)), CAST(0x00009D0A0083D600 AS DateTime)) SET IDENTITY_INSERT [dbo].[orders] OFF /****** Object: ForeignKey [FK_orders_trades] Script Date: 04/02/2010 15:05:31 ******/ ALTER TABLE [dbo].[orders] WITH CHECK ADD CONSTRAINT [FK_orders_trades] FOREIGN KEY([tradeId]) REFERENCES [dbo].[trades] ([tradeId]) GO ALTER TABLE [dbo].[orders] CHECK CONSTRAINT [FK_orders_trades] GO Thanks in advance for any help!

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  • SQL Developer Debugging, Watches, Smart Data, & Data

    - by thatjeffsmith
    After presenting the SQL Developer PL/SQL debugger for about an hour yesterday at KScope12 in San Antonio, my boss came up and asked, “Now, would you really want to know what the Smart Data panel does?” Apparently I had ‘made up’ my own story about what that panel’s intent is based on my experience with it. Not good Jeff, not good. It was a very small point of my presentation, but I probably should have read the docs. The Smart Data tab displays information about variables, using your Debugger: Smart Data preferences. You can also specify these preferences by right-clicking in the Smart Data window and selecting Preferences. Debugger Smart Data Preferences, control number of variables to display The Smart Data panel auto-inspects the last X accessed variables. So if you have a program with 26 variables, instead of showing you all 26, it will just show you the last two variables that were referenced in your program. If you were to click on the ‘Data’ debug panel, you’ll see EVERYTHING. And if you only want to see a very specific set of values, then you should use Watches. The Smart Data Panel As I step through the code, the variables being tracked change as they are referenced. Only the most recent ones display. This is controlled by the ‘Maximum Locations to Remember’ preference. Step through the code, see the latest variables accessed The Data Panel All variables are displayed. Might be information overload on large PL/SQL programs where you have many dozens or even hundreds of variables to track. Shows everything all the time Watches Watches are added manually and only show what you ask for. Data on Demand – add a watch to track a specific variable Remember, you can interact with your data If you want to do more than just watch, you can mouse-right on a data element, and change the value of the variable as the program is running. This is one of the primary benefits to debugging over using DBMS_OUTPUT to track what’s happening in your program. Change the values while the program is running to test your ‘What if?’ scenarios

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  • Using a .MDF SQL Server Database with ASP.NET Versus Using SQL Server

    - by Maxim Z.
    I'm currently writing a website in ASP.NET MVC, and my database (which doesn't have any data in it yet, it only has the correct tables) uses SQL Server 2008, which I have installed on my development machine. I connect to the database out of my application by using the Server Explorer, followed by LINQ to SQL mapping. Once I finish developing the site, I will move it over to my hosting service, which is a virtual hosting plan. I'm concerned about whether using the SQL Server setup that is currently working on my development machine will be hard to do on the production server, as I'll have to import all the database tables through the hosting control panel. I've noticed that it is possible to create a SQL Server database from inside Visual Studio. It is then stored in the App_Data directory. My questions are the following: Does it make sense to move my SQL Server DB out of SQL Server and into the App_Data directory as an .mdf file? If so, how can I move it? I believe this is called the Detach command, is it not? Are there any performance/security issues that can occur with a .mdf file like this? Would my intended setup work OK with a typical virtual hosting plan? I'm hoping that the .mdf database won't count against the limited number of SQL Server databases that can be created with my plan. I hope this question isn't too broad. Thanks in advance! Note: I'm just starting out with ASP.NET MVC and all this, so I might be completely misunderstanding how this is supposed to work.

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  • SQL, moving million records from a database to other database [migrated]

    - by Ryoma
    I am a C# developer, I am not really good with SQL. I have a simple questions here. I need to move more than 50 millions records from a database to other database. I tried to use the import function in ms SQL, however it got stuck because the log was full (I got an error message The transaction log for database 'mydatabase' is full due to 'LOG_BACKUP'). The database recovery model was set to simple. My friend said that importing millions records using task-import data will cause the log to be massive and told me to use loop instead to transfer the data, does anyone know how and why? thanks in advance

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  • Migrating MOSS 2007 from SQL 2000 to SQL 2005 - Addendum

    - by lunacrescens
    This is a continuation of an earlier question I had about moving the databases for a MOSS 2007 installation from SQL 2000 to SQL 2005. Here's the URL for the original question: http://stackoverflow.com/questions/254517/migrating-moss-2007-from-sql-2000-to-sql-2005 In my test environment, I've successfully moved the databases to the SQL 2005 test machine and things appear to be working fine. But, on the "Servers in Farm" page of the Central Admin | Operations, it still shows the old (i.e. SQL 2000) server as the Configuration Database Server. Also, it shows the old config database as being the Configuration Database. I know that the SQL2000 server and old config database (that are showing on this page) are NOT being used, because we've deactived the SQL instance in SQL2000. I've tried "removing" the server, and get a message about "Uninstalling SharePoint products and technologies" being the better route. So, I disconnected from the test databases, uninstalled SharePoint from the test WFE server, and reinstalled it. That didn't do anything. Before uninstalling/reinstalling I also tried simply rerunning the SharePoint Configuration wizard, and that didn't do anything either. Does anyone know how to update the Config Server and Config Database on the "Servers in Farm" page after having moved the Config and Content DBs? Is there something I'm missing or overlooking? Thanks.

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  • sql server 2008 insert statement question

    - by user61752
    I am learning sql server 2008 t-sql. To insert a varchar type, I just need to insert a string 'abc', but for nvarchar type, I need to add N in front (N'abc'). I have a table employee, it has 2 fields, firstname and lastname, they are both nvarchar(20). insert into employee values('abc', 'def'); I test it, it works, seems like N is not required. Why we need to add N in front for nvarchar type, what's the pro or con if we are not using it?

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  • Proper Settings for SQL Server 2005 Profiler User Auditing

    - by Irwin M. Fletcher
    I have been tasked with creating a catalog of all users\applications that access a particular database at our company. The issue is that we have no idea what users are using the database and what they are doing (what queries they are using or stored procedures). I would like to run this over a few days, but want to minimize the amount of information that is returned in the trace, could anyone please advise me on what the minimal settings for Profiler are for this.

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  • Deleted user default database - SQL Server 2008

    - by RadiantHex
    Hi folks, I cannot connect to the database anymore, I'm getting: Cannot open user default database. Login failed. I have deleted the database during a previous session and then tried to recreate it. But the recreate failed. Now I am stuck with this error, what can I do? Edit: I'm using Windows Authentication Any ideas? Fixed: use the command: sqlcmd -E -d master then type: ALTER LOGIN [Your Windows Login] WITH DEFAULT_DATABASE=master GO :)

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  • Filtering columns in SQL Server replication - how?

    - by truthseeker
    Hi, I need to replicate some data from two tables in one database to another databases. I used snapshot replication. The issue is that I would like to replicate only some selected columns and the others should stay with untouched data. I don't want to loose their data. The sours of those columns is other system. So I need to replicate only data from my columns. Do anybody know how to achieve this?

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  • SQL Server 2008 R2 Error 15401 when trying to add a domain user

    - by Alice
    I am trying to add a domain user. I am doing the following. Expand Security Right click on Logins Select New Login... Login name select search Click on location and select entire directory Type username Click checkname The name goes underlined and add some more info Click OK Click OK I then get the following error: I have found http://support.microsoft.com/kb/324321. The Login does exist There is no Duplicate security identifiers Authentication failure I don't think is happening as I can browse AD Case sensitivity should not be the problem as I am doing the checkname and it is correcting it. Not a Local account Name resolution again I can see the AD I have rebooted the server (VM) and the issue is still happening. Any ideas? Edit I have also: Domain member: Digitally encrypt secure channel data (when possible) – Disable this policy Domain member: Digitally sign secure channel data (when possible) – Disable this policy Rebooted server http://talksql.blogspot.com/2009/10/windows-nt-user-or-group-domainuser-not.html Edit 2 I have also: Digitally encrypt or sign secure channel data (always)- Disabled Rebooted Edit 3 Since the question have moved site I no longer haves access to comment etc... I have checked the dns on the server to a machine where it is working. The DNS servers are the same on both...

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