Comparing Data In Two Consecutive Rows From A Single Table
I'm trying to come up with an elegant, simple way to compare two
consecutive values from the same table.
For instance:
SELECT TOP 2 datavalues FROM myTable ORDER BY timestamp DESC
That gives me the two latest values. I want to test the rate of
change of these values. If the top row is a 50% increase over the row
below it, I'll execute some special logic.
What are my options? The only ways I can think of doing this are
pretty ugly. Any help is very much appreciated. Thanks!
B.
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Hi I have aproble with stored procedure.I want to take the Data from a table with multiple rows,In the same select statement for the others select statemet.My store Proc is like this.. CREATE procedure spr_Load_TR_AccidentReport_Edit_VOwner ( @Crime_No varchar(20), @Unit_ID int ) as begin DECLARE @AD_Driver int,@AC_Cas int,@AV_Owner int,@A_Witness int DECLARE @Defect_ID varchar(100) select @AV_Owner=Vehicle_Owner from TBL_TR_ACCIDENT_VEHICLE where Crime_No =@Crime_No and Unit_ID = @Unit_ID SELECT TBL_TR_Person_Details.Person_ID,TBL_TR_Person_Details.Person_Name, dbo.TBL_TR_Person_Details.Address1, dbo.TBL_TR_Person_Details.Address2, dbo.TBL_TR_Person_Details.City_Id, dbo.TBL_TR_Person_Details.State_Id, dbo.TBL_TR_Person_Details.Nationality_id, dbo.TBL_TR_Person_Details.EMail, dbo.TBL_TR_Person_Details.Phone, dbo.TBL_TR_Person_Details.zip, dbo.TBL_TR_Person_Details.sex, dbo.TBL_TR_Person_Details.D_O_B, dbo.TBL_TR_Person_Details.Age, dbo.TBL_TR_Person_Details.Occupation_ID, dbo.TBL_TR_Person_Details.Person_Type, TBL_TR_ACCIDENT_VEHICLE.Registration_Number, TBL_TR_ACCIDENT_VEHICLE.Crime_No, TBL_TR_ACCIDENT_VEHICLE.Vehicle_Owner, TBL_TR_ACCIDENT_VEHICLE.Vehicle_Type, TBL_TR_ACCIDENT_VEHICLE.Vehicle_Vanoeuvre, TBL_TR_ACCIDENT_VEHICLE.vehicle_Make, TBL_TR_ACCIDENT_VEHICLE.Vehicle_Model, TBL_TR_ACCIDENT_VEHICLE.Unit_ID, TBL_TR_ACCIDENT_VEHICLE.RowID, TBL_TR_ACCIDENT_VEHICLE.UserID, TBL_TR_ACCIDENT_VEHICLE.Vehicle_Color, TBL_TR_ACCIDENT_VEHICLE.HP, TBL_TR_ACCIDENT_VEHICLE.Seating_Capacity, TBL_TR_ACCIDENT_VEHICLE.Class_Of_Vehicle, TBL_TR_ACCIDENT_VEHICLE.Unladen_Weight, TBL_TR_ACCIDENT_VEHICLE.Registered_Laden_Weight, TBL_TR_ACCIDENT_VEHICLE.Skid_Length, (select TBL_TR_Person_OutsideDetails.OutSide_state from TBL_TR_Person_OutsideDetails,TBL_TR_ACCIDENT_VEHICLE where TBL_TR_ACCIDENT_VEHICLE.Vehicle_Owner = TBL_TR_Person_OutsideDetails.Person_id and TBL_TR_ACCIDENT_VEHICLE.RowID =TBL_TR_Person_OutsideDetails.RowID)[OutSide_state], (select TBL_TR_Person_OutsideDetails.OutSide_City from TBL_TR_Person_OutsideDetails,TBL_TR_ACCIDENT_VEHICLE where TBL_TR_ACCIDENT_VEHICLE.Vehicle_Owner = TBL_TR_Person_OutsideDetails.Person_id and TBL_TR_ACCIDENT_VEHICLE.RowID =TBL_TR_Person_OutsideDetails.RowID)[OutSide_City] ---here I faced the problem- /*For the above Select only return one rows.But this select willreturn multiple row .I wnat to put that multiple data into a single field with comma*/ (SELECT @Defect_ID = COALESCE(@Defect_ID + ',','') + CAST(TBL_TR_VEHICLE_DEFECT.Defect_ID AS varchar(5)) FROM TBL_TR_VEHICLE_DEFECT,TBL_TR_ACCIDENT_VEHICLE WHERE TBL_TR_VEHICLE_DEFECT.Registration_Number =TBL_TR_ACCIDENT_VEHICLE.Registration_Number) select @Defect_ID FROM tbl_TR_Accident_report,TBL_TR_Person_Details,TBL_TR_ACCIDENT_VEHICLE where tbl_TR_Accident_report.Crime_No=@Crime_No and tbl_TR_Accident_report.Unit_ID=@Unit_ID AND TBL_TR_ACCIDENT_VEHICLE.Crime_No=@Crime_No AND TBL_TR_Person_Details.Person_ID = TBL_TR_ACCIDENT_VEHICLE.Vehicle_Owner end GO
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Data Load: Want To Redirect Extant Rows In Table To A File
We are working on a DataWarehouse app. The DW has been loaded wiith transactional data from the start of September. and we want refresh the DW with a full load from the original source. This full load wil consist largely of the same records that we loaded initially in the DW but some records will be new and others will have changed. During the load I want to direct input records NOT already in the DW to a "mods" table and ignore those input records that alreayd exist in the DW. Can SSIS help out with this task? TIA, Barkingdog
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