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  • How to find loginname, database username, or roles of sqlserver domain user who doesn't have their own login?

    - by Adam Butler
    I have created a login and database user called "MYDOMAIN\Domain Users". I need to find what roles a logged on domain user has but all the calls to get the current user return the domain username eg. "MYDOMAIN\username" not the database username eg. "MYDOMAIN\Domain Users". For example, this query returns "MYDOMAIN\username" select original_login(),suser_name(), suser_sname(), system_user, session_user, current_user, user_name() And this query returns 0 select USER_ID() I want the username to query database_role_members is there any fuction that will return it or any other way I can get the current users roles?

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  • how to create a subquery in sql using count based on outer query

    - by user1754716
    I hope someone can help me with this query. Basically I have two queries that I want to "combine". I want the second query as an extra column along with the first query. The first one is this : SELECT t_Item_Storage_Location.Storage_Loc_Nbr, t_Storage_Location.Storage_Loc_Type_Code, Count(t_Load.Load_Id) AS CurrentLoadCount, t_load.MMM_Id_Nbr FROM t_Load INNER JOIN (t_Storage_Location INNER JOIN t_Item_Storage_Location ON t_Storage_Location.Storage_Loc_Nbr = t_Item_Storage_Location.Storage_Loc_Nbr) ON (t_Load.Storage_Loc_Nbr = t_Item_Storage_Location.Storage_Loc_Nbr) AND (t_Load.MMM_Id_Nbr = t_Item_Storage_Location.MMM_Id_Nbr) where ((((t_Item_Storage_Location.MMM_Id_Nbr) Between '702004%' And '702011%') AND ((t_Item_Storage_Location.Storage_Loc_Nbr) Like '%A') AND ((t_Storage_Location.Storage_Loc_Type_Code)='CD') AND ((t_Load.Active_Status_Ind)='A') AND ((t_Load.QC_Status_Code) Like 'R%') AND ((t_Load.MMM_Facility_Code)='MC')) OR (((t_Item_Storage_Location.Storage_Loc_Nbr) Like '%B')) OR (((t_Item_Storage_Location.Storage_Loc_Nbr) Like '%C')) OR (((t_Item_Storage_Location.Storage_Loc_Nbr) Like '%D')) OR (((t_Item_Storage_Location.Storage_Loc_Nbr) Like '%E')) ) GROUP BY t_Item_Storage_Location.MMM_Id_Nbr, t_Item_Storage_Location.Storage_Loc_Nbr, t_Storage_Location.Storage_Loc_Type_Code, t_Load.MMM_Facility_Code, t_load.MMM_Id_Nbr HAVING Count(t_Load.Load_Id)<4 The second one, is based on the t_load.MMM_Id_Nbr of the first one. Basically I want a count of all the loads with that mmm_id_nbr. SELECT count(Load_ID) as LoadCount, MMM_Id_Nbr, storage_Loc_Nbr FROM t_load WHERE QC_Status_Code like 'R%' and mmm_Facility_Code ='MC' and Active_Status_Ind='A' GROUP by MMM_Id_Nbr, storage_loc_Nbr

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  • blank to numeric conversion derived column

    - by praveen
    Hi All, I have a source column with blank (not "NULL"), and target as numeric. while converting using the data conversion it is not converting due to balnk source value so I used derived column to replace a blank value with NULL or 0 as (source column == " ") ? "0" : source column but its not giving the value as 0 in the blank place. thanks prav

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  • t-sql pivot filter based on input column name

    - by stackoverflowuser
    Based on following AreaState table Area State ------------------- A1 Active A1 Active A1 Active A1 Proposed A1 Proposed A2 Active A2 Proposed I want to write a stored proc that returns count of state for each of the areas. Input to the stored proc is any valid State (in this case @state is the input parameter). I was hoping that below would work but it does not. declare @state varchar(10) set @state = 'Active' select Area, QUOTENAME(@state) from ( select Area, State from AreaState ) as src pivot ( count(State) for State in (QUOTENAME(@state)) ) as pvt Pls. suggest.

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  • Join Where Rows Don't Exist or Where Criteria Matches...?

    - by Greg
    I'm trying to write a query to tell me which orders have valid promocodes. Promocodes are only valid between certain dates and optionally certain packages. I'm having trouble even explaining how this works (see psudo-ish code below) but basically if there are packages associated with a promocode then the order has to have one of those packages and be within a valid date range otherwise it just has to be in a valid date range. The whole "if PrmoPackage rows exist" thing is really throwing me off and I feel like I should be able to do this without a whole bunch of Unions. (I'm not even sure if that would make it easier at this point...) Anybody have any ideas for the query? if `OrderPromoCode` = `PromoCode` then if `OrderTimestamp` is between `PromoStartTimestamp` and `PromoEndTimestamp` then if `PromoCode` has packages associated with it //yes then if `PackageID` is one of the specified packages //yes code is valid //no invalid //no code is valid Order: OrderID* | OrderTimestamp | PackageID | OrderPromoCode 1 | 1/2/11 | 1 | ABC 2 | 1/3/11 | 2 | ABC 3 | 3/2/11 | 2 | DEF 4 | 4/2/11 | 3 | GHI Promo: PromoCode* | PromoStartTimestamp* | PromoEndTimestamp* ABC | 1/1/11 | 2/1/11 ABC | 3/1/11 | 4/1/11 DEF | 1/1/11 | 1/11/13 GHI | 1/1/11 | 1/11/13 PromoPackage: PromoCode* | PromoStartTimestamp* | PromoEndTimestamp* | PackageID* ABC | 1/1/11 | 2/1/11 | 1 ABC | 1/1/11 | 2/1/11 | 3 GHI | 1/1/11 | 1/11/13 | 1 Desired Result: OrderID | IsPromoCodeValid 1 | 1 2 | 0 3 | 1 4 | 0

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  • help with t-sql self join

    - by stackoverflowuser
    Based on the following table ID Date State ----------------------------- 1 06/10/2010 Complete 1 06/04/2010 Pending 2 06/06/2010 Active 2 06/05/2010 Pending I want the following ouptut ID Date State --------------------------- 1 06/04/2010 Complete 2 06/05/2010 Active So date is the earliest one and State is the latest one. I am failing to apply self join on the table to get the output. Thanks

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  • how to save byte[] value to varbinary(64) field on database

    - by shamim
    byte[] a = HashEncript("a"); public byte[] HashEncript(string Password) { SHA512Managed sha = new SHA512Managed(); byte[] hash = sha.ComputeHash(UnicodeEncoding.Unicode.GetBytes(Password)); return hash; } i want to save byte[] a this value on my database .My database field is varbinary(64).i use msSQL2008 .how to save ,want to know the insert query with C# code.

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  • T-SQL MERGE - finding out which action it took

    - by IanC
    I need to know if a MERGE statement performed an INSERT. In my scenario, the insert is either 0 or 1 rows. Test code: DECLARE @t table (C1 int, C2 int) DECLARE @C1 INT, @C2 INT set @c1 = 1 set @c2 = 1 MERGE @t as tgt USING (SELECT @C1, @C2) AS src (C1, C2) ON (tgt.C1 = src.C1) WHEN MATCHED AND tgt.C2 != src.C2 THEN UPDATE SET tgt.C2 = src.C2 WHEN NOT MATCHED BY TARGET THEN INSERT VALUES (src.C1, src. C2) OUTPUT deleted.*, $action, inserted.*; SELECT inserted.* The last line doesn't compile (no scope, unlike a trigger). I can't get access to @action, or the output. Actually, I don't want any output meta data. How can I do this?

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  • how to insert record in database with each date of month on single button click ?

    - by Mr. Goo
    I have two textbox .... textbox1 and textbox2 textbox1 == choose from date textbox2 == choose to date if user select from date in textbox1 as 01-May-2011 and in textbox2 as 30-May-2011 then all the dates from 01-MAy-2011 to 30-May-2011 will be inserted in each row of mssql2005 datatable... example. . : IN database Table1 structure ... ID Date 1 01-MAy-2011 2 02-MAy-2011 3 03-MAy-2011 4 04-MAy-2011 5 05-MAy-2011 and so on till 30-May-2011

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  • Simple Self Join Query Bad Performance

    - by user1514042
    Could anyone advice on how do I improve the performance of the following query. Note, the problem seems to be caused by where clause. Data (table contains a huge set of rows - 500K+, the set of parameters it's called with assums the return of 2-5K records per query, which takes 8-10 minutes currently): USE [SomeDb] GO SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[Data]( [x] [money] NOT NULL, [y] [money] NOT NULL, CONSTRAINT [PK_Data] PRIMARY KEY CLUSTERED ( [x] 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 The Query select top 10000 s.x as sx, e.x as ex, s.y as sy, e.y as ey, e.y - s.y as y_delta, e.x - s.x as x_delta from Data s inner join Data e on e.x > s.x and e.x - s.x between xFrom and xTo --where e.y - s.y > @yDelta -- when uncommented causes a huge delay Update 1 - Execution Plan <?xml version="1.0" encoding="utf-16"?> <ShowPlanXML xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" Version="1.2" Build="11.0.2100.60" xmlns="http://schemas.microsoft.com/sqlserver/2004/07/showplan"> <BatchSequence> <Batch> <Statements> <StmtSimple StatementCompId="1" StatementEstRows="100" StatementId="1" StatementOptmLevel="FULL" StatementOptmEarlyAbortReason="GoodEnoughPlanFound" StatementSubTreeCost="0.0263655" StatementText="select top 100&#xD;&#xA;s.x as sx,&#xD;&#xA;e.x as ex,&#xD;&#xA;s.y as sy,&#xD;&#xA;e.y as ey,&#xD;&#xA;e.y - s.y as y_delta,&#xD;&#xA;e.x - s.x as x_delta&#xD;&#xA;from Data s &#xD;&#xA; inner join Data e&#xD;&#xA; on e.x &gt; s.x and e.x - s.x between 100 and 105&#xD;&#xA;where e.y - s.y &gt; 0.01&#xD;&#xA;" StatementType="SELECT" QueryHash="0xAAAC02AC2D78CB56" QueryPlanHash="0x747994153CB2D637" RetrievedFromCache="true"> <StatementSetOptions ANSI_NULLS="true" ANSI_PADDING="true" ANSI_WARNINGS="true" ARITHABORT="true" CONCAT_NULL_YIELDS_NULL="true" NUMERIC_ROUNDABORT="false" QUOTED_IDENTIFIER="true" /> <QueryPlan DegreeOfParallelism="0" NonParallelPlanReason="NoParallelPlansInDesktopOrExpressEdition" CachedPlanSize="24" CompileTime="13" CompileCPU="13" CompileMemory="424"> <MemoryGrantInfo SerialRequiredMemory="0" SerialDesiredMemory="0" /> <OptimizerHardwareDependentProperties EstimatedAvailableMemoryGrant="52199" EstimatedPagesCached="14561" EstimatedAvailableDegreeOfParallelism="4" /> <RelOp AvgRowSize="55" EstimateCPU="1E-05" EstimateIO="0" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Compute Scalar" NodeId="0" Parallel="false" PhysicalOp="Compute Scalar" EstimatedTotalSubtreeCost="0.0263655"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> <ColumnReference Column="Expr1004" /> <ColumnReference Column="Expr1005" /> </OutputList> <ComputeScalar> <DefinedValues> <DefinedValue> <ColumnReference Column="Expr1004" /> <ScalarOperator ScalarString="[SomeDb].[dbo].[Data].[y] as [e].[y]-[SomeDb].[dbo].[Data].[y] as [s].[y]"> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> </DefinedValue> <DefinedValue> <ColumnReference Column="Expr1005" /> <ScalarOperator ScalarString="[SomeDb].[dbo].[Data].[x] as [e].[x]-[SomeDb].[dbo].[Data].[x] as [s].[x]"> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> </DefinedValue> </DefinedValues> <RelOp AvgRowSize="39" EstimateCPU="1E-05" EstimateIO="0" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Top" NodeId="1" Parallel="false" PhysicalOp="Top" EstimatedTotalSubtreeCost="0.0263555"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="100" ActualEndOfScans="1" ActualExecutions="1" /> </RunTimeInformation> <Top RowCount="false" IsPercent="false" WithTies="false"> <TopExpression> <ScalarOperator ScalarString="(100)"> <Const ConstValue="(100)" /> </ScalarOperator> </TopExpression> <RelOp AvgRowSize="39" EstimateCPU="151828" EstimateIO="0" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Inner Join" NodeId="2" Parallel="false" PhysicalOp="Nested Loops" EstimatedTotalSubtreeCost="0.0263455"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="100" ActualEndOfScans="0" ActualExecutions="1" /> </RunTimeInformation> <NestedLoops Optimized="false"> <OuterReferences> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OuterReferences> <RelOp AvgRowSize="23" EstimateCPU="1.80448" EstimateIO="3.76461" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="1" LogicalOp="Clustered Index Scan" NodeId="3" Parallel="false" PhysicalOp="Clustered Index Scan" EstimatedTotalSubtreeCost="0.0032831" TableCardinality="1640290"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="15225" ActualEndOfScans="0" ActualExecutions="1" /> </RunTimeInformation> <IndexScan Ordered="false" ForcedIndex="false" ForceScan="false" NoExpandHint="false"> <DefinedValues> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </DefinedValue> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </DefinedValue> </DefinedValues> <Object Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Index="[PK_Data]" Alias="[e]" IndexKind="Clustered" /> </IndexScan> </RelOp> <RelOp AvgRowSize="23" EstimateCPU="0.902317" EstimateIO="1.88387" EstimateRebinds="1" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Clustered Index Seek" NodeId="4" Parallel="false" PhysicalOp="Clustered Index Seek" EstimatedTotalSubtreeCost="0.0263655" TableCardinality="1640290"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="100" ActualEndOfScans="15224" ActualExecutions="15225" /> </RunTimeInformation> <IndexScan Ordered="true" ScanDirection="FORWARD" ForcedIndex="false" ForceSeek="false" ForceScan="false" NoExpandHint="false" Storage="RowStore"> <DefinedValues> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </DefinedValue> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </DefinedValue> </DefinedValues> <Object Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Index="[PK_Data]" Alias="[s]" IndexKind="Clustered" /> <SeekPredicates> <SeekPredicateNew> <SeekKeys> <EndRange ScanType="LT"> <RangeColumns> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </RangeColumns> <RangeExpressions> <ScalarOperator ScalarString="[SomeDb].[dbo].[Data].[x] as [e].[x]"> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> </RangeExpressions> </EndRange> </SeekKeys> </SeekPredicateNew> </SeekPredicates> <Predicate> <ScalarOperator ScalarString="([SomeDb].[dbo].[Data].[x] as [e].[x]-[SomeDb].[dbo].[Data].[x] as [s].[x])&gt;=($100.0000) AND ([SomeDb].[dbo].[Data].[x] as [e].[x]-[SomeDb].[dbo].[Data].[x] as [s].[x])&lt;=($105.0000) AND ([SomeDb].[dbo].[Data].[y] as [e].[y]-[SomeDb].[dbo].[Data].[y] as [s].[y])&gt;(0.01)"> <Logical Operation="AND"> <ScalarOperator> <Compare CompareOp="GE"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="($100.0000)" /> </ScalarOperator> </Compare> </ScalarOperator> <ScalarOperator> <Compare CompareOp="LE"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="($105.0000)" /> </ScalarOperator> </Compare> </ScalarOperator> <ScalarOperator> <Compare CompareOp="GT"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="(0.01)" /> </ScalarOperator> </Compare> </ScalarOperator> </Logical> </ScalarOperator> </Predicate> </IndexScan> </RelOp> </NestedLoops> </RelOp> </Top> </RelOp> </ComputeScalar> </RelOp> </QueryPlan> </StmtSimple> </Statements> </Batch> </BatchSequence> </ShowPlanXML>

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  • How Can I Log and Find the Most Expensive Queries?

    - by Pure.Krome
    Hi folks The activity monitor in sql2k8 allows us to see the most expensive queries. Ok, that's kewl, but is there a way I can log this info or get this info via query analyser? I don't really want to have the Sql Management console open and me looking at the activity monitor dashboard. I want to figure out which queries are poorly written/schema is poorly designed, etc. Thanks heaps for any help!

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  • Database design: Calculating the Account Balance

    - by 001
    How do I design the database to calculate the account balance? 1) Currently I calculate the account balance from the transaction table In my transaction table I have "description" and "amount" etc.. I would then add up all "amount" values and that would work out the user's account balance. I showed this to my friend and he said that is not a good solution, when my database grows its going to slow down???? He said I should create separate table to store the calculated account balance. If did this, I will have to maintain two tables, and its risky, the account balance table could go out of sync. Any suggestion? EDIT: OPTION 2: should I add an extra column to my transaction tables "Balance". now I do not need to go through many rows of data to perform my calculation. Example John buys $100 credit, he debt $60, he then adds $200 credit. Amount $100, Balance $100. Amount -$60, Balance $40. Amount $200, Balance $240.

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  • Can I select a set of rows from a table and directly insert that into a table or the same table in S

    - by VJ
    Hi I guess we cannot do this but was just curious if I could do something like - Select * from Employee where EmployeeId=1 and then use the data in the above statement and directly insert into a table with just changing the employeeid...or just this way- insert into Employee ( Select * from Employee where EmployeeId=1) its probably stupid from my side...but I just felt the need to do this a lot of times...so just was curious if there was any way to achieve it..

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  • Why do updates inside of a SQL transaction still need disk IO?

    - by usr
    In SQL Profiler you can see that very simple updates to a table by primary key take about 10-30ms each. On about every 10th update the write column shows 1, on all other updates it shows 0. This must mean that about every 10th update statement still requires disk IO. I wonder why that is. Would it not be more efficient queue up all IO until the transaction commits?

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  • SQL aggregation query, grouping by entries in junction table

    - by cm007
    I have TableA in a many-to-many relationship with TableC via TableB. That is, TableA TableB TableC id | val fkeyA | fkeyC id | data I wish the do select sum(val) on TableA, grouping by the relationship(s) to TableC. Every entry in TableA has at least one relationship with TableC. For example, TableA 1 | 25 2 | 30 3 | 50 TableB 1 | 1 1 | 2 2 | 1 2 | 2 2 | 3 3 | 1 3 | 2 should output 75 30 since rows 1 and 3 in Table have the same relationships to TableC, but row 2 in TableA has a different relationship to TableC. How can I write a SQL query for this?

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  • What are the differences between these?

    - by Amit Ranjan
    What are the differences between the two queries? SELECT CountryMaster.Id FROM Districts INNER JOIN CountryMaster ON Districts.CountryId = CountryMaster.Id SELECT CountryMaster.Id FROM CountryMaster INNER JOIN Districts ON Districts.CountryId = CountryMaster.Id Please mind the i) Table positions and second ii) On Fields As I know, output will be same. But I want to know, is there any drastic effects of the same if I neglect positions of tables and columns in complex queries or tables having tons of data like thousands and lakhs of rows...

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  • Summing Row in SQL query for time range

    - by user3703334
    I'm trying to group a large amount of data into smaller bundles. Currently the code for my query is as follows SELECT [DateTime] ,[KW] FROM [POWER] WHERE datetime >= '2014-04-14 06:00:00' and datetime < '2014-04-21 06:00:00' ORDER BY datetime which gives me DateTime KW 4/14/2014 6:00:02.0 1947 4/14/2014 6:00:15.0 1946 4/14/2014 6:00:23.0 1947 4/14/2014 6:00:32.0 1011 4/14/2014 6:00:43.0 601 4/14/2014 6:00:52.0 585 4/14/2014 6:01:02.0 582 4/14/2014 6:01:12.0 580 4/14/2014 6:01:21.0 579 4/14/2014 6:01:32.0 579 4/14/2014 6:01:44.0 578 4/14/2014 6:01:53.0 578 4/14/2014 6:02:01.0 577 4/14/2014 6:02:12.0 577 4/14/2014 6:02:22.0 577 4/14/2014 6:02:32.0 576 4/14/2014 6:02:42.0 578 4/14/2014 6:02:52.0 577 4/14/2014 6:03:02.0 577 4/14/2014 6:03:12.0 577 4/14/2014 6:03:22.0 578 . . . . 4/21/2014 5:59:55.0 11 Now there is a reading every 10 seconds from a substation. Now I want to group this data into hourly readings. Thus 00:00-01:00 = sum([KW]] for where datetime >= '^date^ 00:00:00' and datetime < '^date^ 01:00:00' I've tried using a convert to change the datetime into date and time field and then only to add all the time fields together with no success. Can someone please assist me, I'm not sure what is right way of doing this. Thanks ADDED Ok so the spilt between Datetime is working nicely, but as if I add a SUM([KW]) function SQL gives an error. And if I include any of the group functions it also nags. Below is what works, I still need to sum the KW per the grouping of hours. I've tried using Group By Hour and Group by DATEPART(Hour,[DateTime]) Both didn't work. SELECT DATEPART(Hour,[DateTime]) Hour ,DATEPART(Day,[DateTime]) Day ,DATEPART(Month,[DateTime]) Month ,([KVAReal]) ,([KVAr]) ,([KW]) FROM [POWER].[dbo].[IT10t_PAC3200] WHERE datetime >= '2014-04-14 06:00:00' and datetime < '2014-04-21 06:00:00' order by datetime

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  • All possible combinations for two column data

    - by Alec Dobbie
    I have a two column view Product Id Tag ---------------------- 1 Leather 1 Watch 2 Red 2 Necklace 2 Pearl I'm trying to get all possible combinations of tags for a product as such: 1 Leather 1 Leather,Watch 2 Pearl 2 Pearl,Necklace 2 Pearl Necklace,Red 2 Necklace 2 Necklace, Red 2 Red I've found and stolen some SQL that give me the complete list for all but not the small versions, its below. Any ideas, it's started to make my head hurt. A virtual pint for the best answer. SELECT ProductId, (SELECT CAST(Tag + ', ' AS VARCHAR(MAX)) FROM ProductByTagView WHERE Product.ProductId = ProductByTagView.ProductId order by tag FOR XML PATH ('')) AS Tags FROM Product

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  • Is it possible to write a database view that encompasses one-to-many relationships?

    - by Brandon Linton
    So I'm not necessarily saying this is even a good idea if it were possible, since the schema of the view would be extremely volatile, but is there any way to represent a has-many relationship in a single view? For example, let's say I have a customer that can have any number of addresses in the database. Is there any way to list out each column of each address with perhaps a number as a part of the alias (e.g., columns like Customer Id, Name, Address_Street_1, Address_Street_2, etc)? Thanks!

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  • Best way to Sort-n-Concatenate 5 columns

    - by SDReyes
    Having five columns containing numeric values A | B | C | D | E ------------------- 2 | 3 | 4 | 1 | 5 3 | 6 | 1 | 5 | 4 4 | 5 | 7 | 1 | 3 I want to obtain the concatenation of the values after sort them: ABCDE ----------- 1 2 3 4 5 1 3 4 5 6 1 3 4 5 7 What is the best way to do it?

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  • How to do a case sensitive GROUP BY?

    - by Abe Miessler
    If I execute the code below: with temp as ( select 'Test' as name UNION ALL select 'TEST' UNION ALL select 'test' UNION ALL select 'tester' UNION ALL select 'tester' ) SELECT name, COUNT(name) FROM temp group by name It returns the results: TEST 3 tester 2 Is there a way to have the group by be case sensitive so that the results would be: Test 1 TEST 1 test 1 tester 2

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